Cumincad : CUMINCAD References : 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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	Breen, J., Stellingwerff, M.C. (1998) Imaging imagination, Exploring the impact of dynamic visualisation techniques in the design of the public realm , Delft University Press

	Day, Alan K., Radford, Antony D. (1995) Imaging Change: The Computer City Model as a Laboratory for Urban Design Research , [Proceedings 6th International Conference on Computer-Aided Architectural Design Futures, Singapore, 24-26 September 1995], pp. 495-506

	Do, Ellen Yi-Luen (1993) Imaging the Concepts of Isovist in Design Process , Georgia Institute of Technology. Working Paper

	Do, Ellen Yi-Luen (1993) Imaging the concepts of isovistfield in design process -- Topdown Isoview -- a tool for spatial analysis , Georgia Institute of Technology. Special Topics, independent study ARCH 8183 E

	Duffing, G. (2001) Thematico-Visual Image Retrieval : How to Deal With Partially Indexed Corpora , Internet Imaging II, San Jose, California, 2001

	Erkan, . (2018) Examining Wayfinding Behaviours in Architectural Spaces Using Brain Imaging with Electroencephalography (eeg) , Architectural Science Review, 61(6), 41-428. Available at: https://doi.org/1.18/38628.218.1523129

	Freeman, W. J., & Quiroga, R. Q. (2013) Electroencephalography , Springer: Imaging Brain Function With EEG (pp. 1-19). Available at: https://doi.org/1.17/978-1-4614-4984-31

	G.Duffing (2001) Thematico-Visual Image Retrieval: How to Deal With Partially Indexed Corpora , Internet Imaging II, San Jose, California

	Gillespie, Rob (2001) Top2maya– A Tool for Converting 2D Topographical Maps to 3D Models , The Beckman Institute Imaging Technology Group Technical Report, 00- 016

	Mann, S. (1997) Wearable Computing: A First Step Toward Personal Imaging , Computer, vol.30, no.2, Feb., pp.25-32

	Mann, S. (1997) Wearable Computing: A First Step Toward Personal Imaging , Computer, vol.30, no.2, Feb., pp.25-32

	Mestre, DR (2017) CAVE versus Head-Mounted Displays: Ongoing thoughts , Electronic Imaging, The Engineering Reality of Virtual Reality, pp. 31-35

	Negroponte, Nicholas (2008) Foreword: Nerd Pride , Holographic imaging. John Wiley & Sons

	Orland, B. (1987) Video Imaging: Window to a New World , Computer Design Graphics World, Vol. 11, No. 10, pp. 18-24

	Pamula, J. (1996) Computer-aided imaging , Machnine Graphics & vision, Vol. 5, No.3

	Paul, J. B. (1988) Active, optical range imaging sensors , Mach. Vision Appl. , 1, 127-152

	Piccinini, F., Balassa, T., Szkalisity, A., Molnar, C., Paavolainen, L., Kujala, K., ... & Horvath, P. (2017) Advanced Cell Classifier: User-friendly Machine-learning-based Software for Discovering Phenotypes in High-content Imaging Data , Cell systems,4(6), 651-655. Available at: https://doi.org/1.116/j.cels.217.5.12.

	Sakas, George (2002) Trends in Medical Imaging: From 2D to 3D , Computers & Graphics, 26 (4), pp. 577–587

	Song, K, Yeom, E, Lee, S.J. (2015) Real-Time Imaging of Pulvinus Bending in Mimosa Pudica , Scientific Reports, 4(1). Available at https://doi.org/10.1038/srep06466 (Accessed 13 September 2021)

	STEHMANN, M. B., ERSBOLL, B. K., LARSEN, R. (2003) FAME – a flexible appearance modeling environment , IEEE Transactions on Medical Imaging, 22(10), 1319-1331

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