Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	acadia11_350
id	acadia11_350
authors	Kim, Simon; Yim, Mark; Laucharoen, Jedtsada; Wetmore, Michael; Salek, Sanam; Pan, Sam
year	2011
title	Motion and Modular Architecture
source	ACADIA 11: Integration through Computation [Proceedings of the 31st Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA)] [ISBN 978-1-6136-4595-6] Banff (Alberta) 13-16 October, 2011, pp. 350-357
doi	https://doi.org/10.52842/conf.acadia.2011.350
summary	This paper presents an implementation of an architectural module that corresponds to a long serial chain modular robot. As such, this configuration poses possibilities that can move using travelling wave gaits based on snakes and caterpillars. The gaits are controlled with a Gait Control Table which is a simple but powerful way to coordinate the motion of a multiple degree-of-freedom systems. The gaits are implemented on a self-sufficient modular reconfigurable robot with onboard power, computation, sensors and actuators.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:52

_id	ecaade2015_144
id	ecaade2015_144
authors	Kim, Sun-Joong; Choi, Yuri and Lee, Ji-Hyun
year	2015
title	Architectural Bioinspired Design: Functional Assessment of Design Terminologies to Support a Biological System Search - Functional Assessment of Design Terminologies to Support a Biological System Search
source	Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 2, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 467-476
doi	https://doi.org/10.52842/conf.ecaade.2015.2.467
wos	WOS:000372316000053
summary	In this study, the semantic relationship of lexicons from the architectural design domain and function words frequently used in the bioinspired design domain were quantitatively extracted. Even though bioinspired design for the architecture domain has a lot of possibility of use, it is not comparably accessible because the design supportive systems were focused on engineering design domain. Therefore, the semantic relatedness between function words from the engineering domain and lexicons from the architectural domain were quantified in order to develop a lexicon based biological system search tool. The lexicons were extracted from the texts of the International Building Code and natural language processing techniques supported the task. And the semantic relatedness between the lexicons and function words were quantified by the semantic network analysis using the WordNet system.
series	eCAADe
email
last changed	2022/06/07 07:52

_id	sigradi2012_164
id	sigradi2012_164
authors	Kim, Sun-Joong; Lee, Ji-Hyun
year	2012
title	How Biomimetic Approach Enlarges Morphological Solution Space
source	SIGraDi 2012 [Proceedings of the 16th Iberoamerican Congress of Digital Graphics] Brasil - Fortaleza 13-16 November 2012, pp. 538-542
summary	Ordinarily, high-speed train design methodology has been modeled to guide designer’s problem solving and design thinking. However, the current methodology cannot guide designers in very detail due to the reason of the difficulties in bridging gap between pure engineering-knowledge and design-knowledge. In other words, these two knowledge are disconnected each other in a whole frame of design process. But, the paradigm shift that was induced by biomimetic approach has demanded an interdisciplinary approach for a generation of new geometrical characteristics that were impossible to be handled in the current design methodology. In this research, as a case study, we quantify the front-head design of high-speed trains to check the impacts of biomimetic approach. Quantitative methodology of the landmark based morphometric design analysis is introduced and adapted on the study.
keywords	Biomimetics; Design Analysis; Morphometrics; High-speed Train Design
series	SIGRADI
email
last changed	2016/03/10 09:53

_id	ecaade2024_223
id	ecaade2024_223
authors	Kim, Taehoon; Kim, Geunjae; Hong, Soon Min; Choo, Seungyeon
year	2024
title	Development of Structure-Specific Architectural BIM Object Automatic Generation Technology for Reverse Design Based on Deep Learning
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 705–714
doi	https://doi.org/10.52842/conf.ecaade.2024.1.705
summary	This research developed a technology for classifying architectural objects based on point cloud data and creating Building Information Modeling (BIM) models in the reverse engineering process. This research analyzed the limitations in the process and current advancements in point cloud-based object recognition and classification technology, leveraging semantic segmentation. The classification method employed a semantic segmentation-based network to classify objects into desired classes within 3D point cloud data. Specifically, the TD3D network, known for its superior performance, was utilized in this study, with publicly available datasets used for training. Moreover, the developed algorithm for creating architectural object BIM models was specifically designed based on the simplest structure and form, namely reinforced concrete structure. In conclusion, the study aimed to develop technology more aligned with the fundamental purpose of performing reverse engineering in an architectural context. Analysis of validated architectural structures revealed that, despite deviating from actual measurement times, concrete-reinforced structures demonstrated the highest performance.
keywords	Reverse engineering, Deep Learning, Point Cloud, Automatic object generation, BIM
series	eCAADe
email
last changed	2024/11/17 22:05

_id	682d
authors	Kim, Uk
year	1986
title	Model for an Integrated Design Evaluation System using Knowledge Bases
source	ACADIA Workshop ‘86 Proceedings - Houston (Texas - USA) 24-26 October 1986, pp. 204-215
doi	https://doi.org/10.52842/conf.acadia.1986.204
summary	Computer-aided architectural design (CAAD) systems need to be integrated so that one unified system can generate and do various analysis and evaluation of building models. A data system can not solve this problem because all design concepts can not be stored in the database before the design is completed. As design stage proceeds, design concept and necessary information for analysis and evaluation become complex and detailed. In order to accommodate increasing entities and new relationships between them, knowledge-based systems are integrated into the database of building models. frame structure and production rules are adopted to represent knowledge about the database, and to represent evaluation rules respectively. The system is implemented in Prolog on an Apollo workstation.
series	ACADIA
last changed	2022/06/07 07:52

_id	ddss9217
id	ddss9217
authors	Kim, Y.S. and Brawne, M.
year	1993
title	An approach to evaluating exhibition spaces in art galleries
source	Timmermans, Harry (Ed.), Design and Decision Support Systems in Architecture (Proceedings of a conference held in Mierlo, the Netherlands in July 1992), ISBN 0-7923-2444-7
summary	There are certain building types in which movement of people is the most significant evaluation factor. Among these are art galleries and museums. Unlike other building types, which are often explicated by investigating the relationship between people and people, and between people and the built environment, art galleries and museums are a building type in which the social relationship between people hardly exists and peoples movement through space, that is, the functional relationship between people and space, is one of the most significant factors for their description. The typical museum experience is through direct, sequential, and visual contact with static objects on display as the visitor moves. Therefore, the movement pattern of the visitors must exert a significant influence on achieving the specific goal of a museum. There is a critical need for predicting the consequences of particular spatial configurations with respect to visitors movement. In this sense, it is the intention of this paper to find out the relationship between the spatial configuration of exhibition space and the visitors' movement pattern.
series	DDSS
last changed	2003/08/07 16:36

_id	ecaade2011_128
id	ecaade2011_128
authors	Kim, Yoonhyun; Park, Sangjin; Park, Jieun; Kim, Sunjoong; Lee, Jihyun
year	2011
title	Home suggestion service in real estate searching system: Using ontology and case-based reasoning
source	RESPECTING FRAGILE PLACES [29th eCAADe Conference Proceedings / ISBN 978-9-4912070-1-3], University of Ljubljana, Faculty of Architecture (Slovenia) 21-24 September 2011, pp.605-614
doi	https://doi.org/10.52842/conf.ecaade.2011.605
wos	WOS:000335665500070
summary	Real estate search system currently supports users’ search for sale and consumption. However, the quality of the search results is unsatisfactory in most cases. This is due to the lack of system capacity to accurately understand and process all-different userpreferences. Therefore, this study aims to solve the said issue by newly constructing real estate information via “Case-based Reasoning” and “Ontology.” We conducted research on the terminology related to real estate search that could be seen in a number of Q&A communities. Based on the work, a hierarchical structure of the concepts was reorganized. In addition, a real estate search system was developed to authenticate its effectiveness while dealing with several exemplary cases.
keywords	CaseBaseReasoning; Ontology; Information modeling; Service design; Knowledge acquisition
series	eCAADe
email
last changed	2022/05/01 23:21

_id	ecaadesigradi2019_138
id	ecaadesigradi2019_138
authors	Kim, Yujin
year	2019
title	Bioinspired Modularity in Evolutionary Computation and a Rule-Based Logic - Design Solutions for Shared Office Space
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 341-348
doi	https://doi.org/10.52842/conf.ecaade.2019.2.341
summary	Evolutionary computation is a population-based problem solver that is characterized by a stochastic optimization in order to solve both a single objective and multiple objectives. Previous evolutionary computational researches provided various design options and improved optimization through being evolved with fitness criteria, especially when multiple design objectives conflict with one another. In this paper, a rule-based algorithm was combined with the evolutionary computational process to propose an assembly logic of the modules and to improve an architectural building design in order to adapt to environmental changes. Two algorithms - a rule based and generative algorithm- proceeded simultaneously and provided various options as well as optimization in real time. For the experiment set-up, existing buildings were divided into each module; the modules were reinterpreted and reassembled with the logic driven by Evolutionary Developmental Biology. The conclusion is that when a rule based logic is combined with a developmental algorithm with a modular system, it is more efficient for the design process to be analyzed, evaluated, and optimized. The ultimate outcome provides various options in a short amount of time.
keywords	Evolutionary computation; rule-based algorithm; modularity; reassembly
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	caadria2020_261
id	caadria2020_261
authors	Kimm, Geoff and Burry, Mark
year	2020
title	Encouraging Community Participation in Design Decision-making through Reactive Scripting - a general framework tested in the smart villages context
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 51-60
doi	https://doi.org/10.52842/conf.caadria.2020.2.051
summary	In governmental decision-making, centralised experts spending a society's resources benefit from the guidance of community participation, yet the most effective participation by individuals distributed throughout a community often relies on expert guidance. This co-dependency of centralised and distributed knowledge is a critical weakness in contexts, such as developing rural communities, in which opportunities for in-field expert engagement are limited. This paper proposes a novel computational framework to break this deadlock by taking into the field responsive expertise digitally encapsulated within accessible built environment simulations. The framework is predicated in reactive scripting for design apps that invite a citizen user to progress a model towards their ideal design by prompts that highlight exceptional, contradictory, mutually exclusive, or simply underwhelming outcomes or branching decisions. The app simulations provide a gamified context of play in which goals are not prescriptively encoded but instead arise out of the social and community context. The detailed framework, presented together with a proof of concept smart villages app that is described along with an integration and feasibility test with positive results, provides a model for better participatory decision-making outcomes in the face of limited availability of expertise.
keywords	community participation; built environment simulation; gamification; reactive scripting; smart cities and villages
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2023_340
id	caadria2023_340
authors	Kimm, Geoff, White, Marcus and Burry, Mark
year	2023
title	Extending Visuospatial Analysis in Design Computing: An Exploration With a Novel GPU-Based Algorithm and Form-Based Codes
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 655–664
doi	https://doi.org/10.52842/conf.caadria.2023.1.655
summary	This paper responds to a gap observed between the contemporary capacity for calculation and analysis of visibility of built environment features, such as buildings, in digital urban and architectural computational research models and the functionality of off-the-shelf software tools available to professionals. The research investigates the potential of visibility analysis to be embedded and extended within computational-based workflows of software tools to better meet urban design and planning industry needs. We introduce a novel method for visibility calculation that exposes output data for further analysis within a computational workflow and implement it in a game development engine used by software tool providers. Based in our engagement with a local government authority, we then use that method to demonstrate a workflow in the context of form-based building codes in which the visual impact of a building is considered rather than prescriptive limits on dimensions and use. Our results indicate the novel method has substantial performance improvements compared to an alternative mode of visibility calculation and that software providers could more thoroughly integrate and extend visibility analysis to meet industry needs.
keywords	design computing, viewsheds, isovists, GPU shader, Unity 3D, genetic algorithm, generative design, form-based building codes
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2024_148
id	caadria2024_148
authors	Kimm, Geoff, White, Marcus and Burry, Mark
year	2024
title	Adapting the Software Design Pattern Model for AI-Enabled Design Computing
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 49–58
doi	https://doi.org/10.52842/conf.caadria.2024.1.049
summary	Exponential AI development requires an adaptation to new technology by traditionally reluctant architects and allied practitioners. This paper examines the potential of the software design pattern (SDP) model, used in software engineering to capture and reapply designs, as one underpinning. Patterns have creativity and pedagogical benefits in parametric modelling, yet consideration of AI and broader design computing as well as the derivation and versatility implied by an SDP model are underexamined. This research questions how, in an AI context, new patterns may evolve for varied AI levels and non-geometrical features. It is undertaken in the Unity game engine with critical application of two prominent extant patterns as a computational workflow design response to a real-world citizen engagement scenario. A novel, feature-agnostic pattern is derived with a simple AI model and is verified for other AI models. The work concludes design computing patterns can abstract existing pattern knowledge to flexibly evolve and apply across rapidly changing AI-enabled design computing contexts and thereby assist practitioners to positively respond to AI advances.
keywords	artificial intelligence, computational design, software design patterns, architectural practice, Unity 3D, intelligent agents
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ijac202018103
id	ijac202018103
authors	Kimm, Geoff
year	2020
title	Actual and experiential shadow origin tagging: A 2.5D algorithm for efficient precinct-scale modelling
source	International Journal of Architectural Computing vol. 18 - no. 1, 41-52
summary	This article describes a novel algorithm for built environment 2.5D digital model shadow generation that allows identities of shadowing sources to be efficiently precalculated. For any point on the ground, all sources of shadowing can be identified and are classified as actual or experiential obstructions to sunlight. The article justifies a 2.5D raster approach in the context of modelling of architectural and urban environments that has in recent times shifted from 2D to 3D, and describes in detail the algorithm which builds on precedents for 2.5D raster calculation of shadows. The algorithm is efficient and is applicable at even precinct scale in low-end computing environments. The simplicity of this new technique, and its independence of GPU coding, facilitates its easy use in research, prototyping and civic engagement contexts. Two research software applications are presented with technical details to demonstrate the algorithm’s use for participatory built environment simulation and generative modelling applications. The algorithm and its shadow origin tagging can be applied to many digital workflows in architectural and urban design, including those using big data, artificial intelligence or community participative processes.
keywords	2.5D raster, actual and experiential shadow origins, generative techniques, participatory built environment simulation, reactive scripting for design
series	journal
email
last changed	2020/11/02 13:34

_id	acadia20_698
id	acadia20_698
authors	Kimm, Geoff; Burry, Mark
year	2020
title	Steering into the Skid
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 698-707.
doi	https://doi.org/10.52842/conf.acadia.2020.1.698
summary	What if any perceived risks of lost authorship and artistic control posed by a wholesale embrace of artificial intelligence by the architectural profession were instead opportunities? AI’s potential to automate design has been pursued for over 50 years, yet aspirations of early researchers are not fully realized. Nonetheless, AI’s advances continue to be rapid; it is an increasingly viable adjunct to architectural practice, and there are fundamental reasons for why the perceived “risks” of AI cannot be dismissed lightly. Architects’ professional role at the intersection of social issues and technology, however, may allow them to avoid the obsolescence faced by other roles. To do this, we propose architects responsively arbitrage an ever-changing gap between maturing AI and mutable social expectations— arbitrage in the sense of seeking to exercise individual judgment to negotiate between diverse considerations and capacities for mutual advantage. Rather than feel threatened, evolving architectural practice can augment an expanded design process to generate and embed new subtleties and expectations that society may judge contemporary AI alone as being unable to achieve. Although there can be no road map to the future of AI in architecture, historical misevaluations of machines and our own human capabilities inhibit the intertwined, synergistic, and symbiotic union with AI needed to avoid a zero-sum confrontation. To act myopically, defensively, or not at all risks straitjacketing future definitions of what it means to be an architect, designer, or even a professionally unaligned creative and productive human being.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia09_130
id	acadia09_130
authors	Kimpian, Judit; Mason, Josh; Coenders, Jeroen; Jestico, Dan; Watts, Steve
year	2009
title	Sustainably Tall: Investment, Energy, Life Cycle
source	ACADIA 09: reForm( ) - Building a Better Tomorrow [Proceedings of the 29th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-9842705-0-7] Chicago (Illinois) 22-25 October, 2009), pp. 130-143
doi	https://doi.org/10.52842/conf.acadia.2009.130
summary	The purpose of this project is to provide an interactive platform for clients and design teams to evaluate the consequences of shape, form, and briefing decisions on the energy use, embodied energy, and capital / life-cycle cost of a tall building early in the design process. The Tall Building Simulation (TBS) model is the result of a collaborative partnership between Aedas, Arup, Hilson Moran (HM), and Davis Langdon (DL). It is estimated that most decisions determining the sustainability of a project are made in the first 1 percent of a project’s program, whereas the majority of the information required for sustainability assessment is not usually available or examined until after the concept stage. By this time, most solutions would need design or briefing changes that are too costly to implement. Using the TBS model, architects, engineers, and clients can simultaneously explore the impact of typical technical and design decisions on a tall building’s energy footprint and its dynamic relationship to cost at the briefing stage.
keywords	Design evaluation, environmental impact, energy, simulation
series	ACADIA
type	Normal paper
email
last changed	2022/06/07 07:52

_id	caadria2024_352
id	caadria2024_352
authors	Kimura, Shun and Ikeda, Yasushi
year	2024
title	An Approach to Improve Individual Thermal Comfort Based on Mobile Measurement of Biological Reaction to Proximate Thermal Environment
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 425–434
doi	https://doi.org/10.52842/conf.caadria.2024.1.425
summary	Thermal comfort is a critical research field because it affects people's health, productivity, and well-being in an architectural space. Numerous previous studies have attempted to find thermal environment conditions where average people feel comfortable. Recently, researchers have focused more on estimating and improving thermal comfort on an individual level to improve the accuracy of previous methods, leveraging recent developments in sensing technologies. However, there are still some remaining issues, such as limited scalability due to the use of in-place sensors and the assumption of a uniform thermal environment, making it unable to recognize locational differences. This study is fundamental research that proposes a human-based approach based on a mobile measurement system to overcome these issues. Firstly, the concept and the benefits are clarified and then, the methodologies and results of two fundamental experiments are explained. One was a field experiment to investigate its validity in estimating individual thermal comfort in real-life situations. The other one was to consider and examine ways to improve individual thermal comfort by the human-based approach. The results suggest that the human-based approach can be beneficial in a way never seen although some issues need to be addressed in future research.
keywords	individual thermal comfort, mobile sensing, HCI, human-centric modeling, interactive environment
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	a4f6
authors	Kimura, T., Komatsu, K. and Watanabe, H.
year	1995
title	Spatial Configuration Data Model For InterApplicational Collaborative Design
source	Sixth International Conference on Computer-Aided Architectural Design Futures [ISBN 9971-62-423-0] Singapore, 24-26 September 1995, pp. 761-770
summary	In this paper, a new design method is proposed which will enable the designer to predict and control the flow of pedestrians acting inside the designed building. Watanabe laboratory has been working on human behavioral research, and referring to the results of these studies, the authors pointing out the requirements for a tool supporting the new design method. Later on, a data model and a loosely integrated system intended to match the needs will be proposed.
keywords	Human Behavior, Design Method, Design Process, Integrated CAD System
series	CAAD Futures
last changed	1999/08/03 17:16

_id	ecaade2009_099
id	ecaade2009_099
authors	Kinayoglu, Gökçe
year	2009
title	Using Audio-Augmented Reality to Assess the Role of Soundscape in Environmental Perception: An Experimental Case Study at UC Berkeley Campus
source	Computation: The New Realm of Architectural Design [27th eCAADe Conference Proceedings / ISBN 978-0-9541183-8-9] Istanbul (Turkey) 16-19 September 2009, pp. 639-648
doi	https://doi.org/10.52842/conf.ecaade.2009.639
wos	WOS:000334282200077
summary	Sounds, along with other senses, have a profound influence on our perception of the environment. The multi-modality of perceptual processing is influential in cognitive interpretation, semantic and aesthetic evaluations of environmental scenes. This paper describes an experimental case study using audio-augmented reality, carried out in order to better understand how sound influences sense of place. A correlation is established between soundscape and sense of place that depends on audio-visual congruence based on cultural, aesthetic and semantic factors. Subjective influences of soundscape on place experience are grouped and discussed under 5 areas that were possible to identify: Emotive and synaesthetic effects; effects on attention, gaze and behavior; effects on spatial orientation and sense of scale; influence of audio-visual congruence on sense of place; and perception of personal and social space.
keywords	Augmented reality, soundscape, environmental perception, place theory, environmental acoustics
series	eCAADe
type	normal paper
email
last changed	2022/06/07 07:52

_id	acadia21_546
id	acadia21_546
authors	King, Cyle; Gasper, Jacob
year	2021
title	Process / Product
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 546-553.
doi	https://doi.org/10.52842/conf.acadia.2021.546
summary	Academic papers are full of final drawings and diagrams but gloss over process work, “less glamorous” images, and the amount of time and labor behind a fi nal product. Certain skills and expertise cannot be taught but are instead collected from years of personal experience – a body of knowledge inaccessible to some unless passed on through e-mails, Zoom calls, or personal observations. When dealing with these seemingly esoteric topics, it becomes easy to feel isolated in the problems, failures, or questions that arise and cannot be easily accessed in academic journals or a simple Google search. Although exacerbated by the global pandemic’s mandates and shifts in the way work is done - this feeling is not new. The following pages record clay 3D printing research on a KUKA industrial robotic arm completed by two 5th year undergraduate architecture students. Through drawings, images, and text, this field note documents decisions, failures, messes, and successes compiled from a year of socially distanced learning, researching, and living.
series	ACADIA
type	field note
email
last changed	2023/10/22 12:06

_id	ecaade2022_122
id	ecaade2022_122
authors	Kinoshita, Airi, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2022
title	Enhanced Tracking Method with Object Detection for Mixed Reality in Outdoor Large Space
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 457–466
doi	https://doi.org/10.52842/conf.ecaade.2022.2.457
summary	Mixed-reality landscape simulation is one of the visual methods used in landscape design studies. A markerless tracking method using image processing has been proposed for properly aligning the real and virtual worlds involved with landscape simulations in large spaces. However, this method is challenging because tracking breaks down if a dynamic object is encountered during the mixed-reality execution. In this study, we integrated deep-learning object detection with natural feature-based tracking, which tracks manually defined feature points (tracking reference points), with the aim of reducing the impact of moving objects such as people and cars on mixed-reality tracking. The prototype system was implemented and tracking was performed on pre-recorded video taken outdoors. Performance was verified in terms of the number of errors associated with tracking the reference points and the accuracy of the mixed-reality display results (camera pose estimation results). Compared to the conventional system, our system was able to reduce the influence of moving objects that cause errors when tracking reference points. The accuracy of the camera pose estimation results was also verified to be improved. This research will contribute to developing mixed-reality simulation systems for large-scale spaces that are accessible to everyone, including users in the architectural field.
keywords	Landscape Visualization, Mixed Reality, Object Detection, Tracking, Deep Learning
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaadesigradi2019_339
id	ecaadesigradi2019_339
authors	Kinugawa, Hina and Takizawa, Atsushi
year	2019
title	Deep Learning Model for Predicting Preference of Space by Estimating the Depth Information of Space using Omnidirectional Images
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 61-68
doi	https://doi.org/10.52842/conf.ecaade.2019.2.061
summary	In this study, we developed a method for generating omnidirectional depth images from corresponding omnidirectional RGB images of streetscapes by learning each pair of omnidirectional RGB and depth images created by computer graphics using pix2pix. Then, the models trained with different series of images shot under different site and weather conditions were applied to Google street view images to generate depth images. The validity of the generated depth images was then evaluated visually. In addition, we conducted experiments to evaluate Google street view images using multiple participants. We constructed a model that estimates the evaluation value of these images with and without the depth images using the learning-to-rank method with deep convolutional neural network. The results demonstrate the extent to which the generalization performance of the streetscape evaluation model changes depending on the presence or absence of depth images.
keywords	Omnidirectional image; depth image; Unity; Google street view; pix2pix; RankNet
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

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