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 caadria2003_a2-1
id caadria2003_a2-1
authors Schira, Gretchen
year 2003
title Frequency Magnitude and Images of Texture Studies on Relationships to Human Preference
source CAADRIA 2003 [Proceedings of the 8th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 974-9584-13-9] Bangkok Thailand 18-20 October 2003, pp. 169-182
summary A relationship between spatial frequency magnitude and aesthetic preference for texture is established in this work. This paper examines the mean output of three frequency settings in terms of preference ratings for a bank of Gabor filters. Three studies were conducted and the correlations between aesthetic ratings and the mean output for the filter set to extract frequency content at the scale of 0.35 cycles/ pixel were robust. The correlations for the mean frequency magnitude of this filter remained significant when image identifiability was incorporated; suggesting that memory and association are not exclusively driving (aesthetic) preference. These results are consistent with findings reported by Albrecht and Geisler (1997), demonstrating that human beings are tuned to specific frequencies and orientations. Overall, the results reported in this paper begin to substantiate a claim that specific frequencies contained in images do play a significant role in human preference.
series CAADRIA
email g.schira@bk.tudelft.nl
last changed 2003/12/02 06:47

_id 233c
authors Udupa, Jayaram K., Srihari, Sargur N. and Herman, Gabor T.
year 1982
title Boundary Detection in Multidimensions
source IEEE Transactions on Pattern Analysis and Machine Intelligence. January, 1982. vol. PAM-4: pp. 41-50 : ill. includes bibliography
summary The development of image processing algorithms for time varying imagery and computerized tomography data calls for generalization of the concepts of adjacency, connectivity, boundary, etc. to three and four dimensional discrete spaces. This paper defines these basic concepts in unified terminology and presents algorithms for a boundary detection task in multidimensional space. The performance of these algorithms is discussed with respect to theoretical maximum complexity, and is illustrated with simulated computerized tomography data
keywords algorithms, image processing, performance, applications
series CADline
last changed 2003/06/02 11:58

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