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

PDF papers
id acadia14_389
authors Johnson, Jason; Parker, Matthew
year 2014
title This is not a Glitch: Algorithms and Anomalies in Google Architecture
source ACADIA 14: Design Agency [Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9781926724478]Los Angeles 23-25 October, 2014), pp. 389-398
summary This paper presents a body of research that explores the ways in which computer vision is being paired with big data collection engines to map/simulate the physical environment in digital space. These algorithms are producing increasingly ubiquitous representations of 3 dimensional space which are accessed by governments, security agencies, private citizens and in the context of this paper, designers. Designers often accept these simulations as highly accurate despite understanding very little about how they are produced. 
keywords Big Data, Simulation and Representation, Google Earth, Image Mapping, Computational Design, Computer Vision
series ACADIA
type Normal Paper
full text file.pdf (2,815,188 bytes)
references Content-type: text/plain
Details Citation Select
100%; open Brown, M: and D. Lowe (2002) Find in CUMINCAD Invariant Features from Interest Point Groups , Procedings of the British Machine Vision Conference 2002: 23.1–23.10. doi:10.5244/C.16.23

100%; open Fure, Adam (2011) Find in CUMINCAD Digital Materiallurgy: On the Productive Force of Deep and Vital Matter , ACADIA 2011 Integration Through Computation?: Proceedings of the 31st Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA, edited by Joshua M Taron, Jason S Johnson, Vera Parlac, and Branko Kolarevic, 90–97. Calgary/Banff: ACADIA.

100%; open Liu, Ce, Jenny Yuen, and Antonio Torralba (2011) Find in CUMINCAD SIFT Flow:Dense Correspondence across Scenes and its Applications , IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (5) (May): 978–94. doi:10.1109/TPAMI.2010.147.

100%; open Lowe, D.G. (1999) Find in CUMINCAD Object Recognition from Local Scale-Invariant Features , Proceedings of the Seventh IEEE International Conference on Computer Vision: 1150–1157 vol.2

100%; open Lowe, David G. (2004) Find in CUMINCAD Distinctive Image Features from Scale-Invariant Keypoints.” , International Journal of Computer Vision 60 (2) (November): 91–110.

100%; open Spyropoulus, Theodore, and Vasilis Stroumpakos. (2004) Find in CUMINCAD Facebreeder ,

100%; open Tufekci, Zeynep (2014) Find in CUMINCAD Is the Internet Good or Bad? Yes. It’s Time to Rethink Our Nightmares about Surveillance , Matter.

100%; open Valla, Clement (2012) Find in CUMINCAD Rhizome The Universal Texture ,

100%; open Vedaldi, A. (2013) Find in CUMINCAD Scale Invariant Feature Transform (SIFT) ,

100%; open Yang, Donglei, Lili Liu, Feiwen Zhu, and Weihua Zhang (2011) Find in CUMINCAD A Parallel Analysis on Scale Invariant Feature Transform ( SIFT ) Algorithm , APPT'11 Proceedings of the 9th international conference on Advanced parallel processing technologies pp 98-111

last changed 2014/09/29 05:51
pick and add to favorite papersHOMELOGIN (you are user _anon_755248 from group guest) CUMINCAD Papers Powered by SciX Open Publishing Services 1.002