Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/78283
Title: Perceptual texture space improves perceptual consistency of computational features
Authors: Long, H.
Leow, W.K. 
Issue Date: 2001
Source: Long, H.,Leow, W.K. (2001). Perceptual texture space improves perceptual consistency of computational features. IJCAI International Joint Conference on Artificial Intelligence : 1391-1396. ScholarBank@NUS Repository.
Abstract: Perceptual consistency is important in many computer vision applications. Unfortunately, except for color, computational features and similarity measurements for other visual features are not necessarily consistent with human's perception. This paper addresses three critical issues regarding perceptually consistent texture analysis: (1) development of perceptual texture space, (2) assessment of how consistent computational features are to human perception, and (3) mapping computational features to perceptual space. It demonstrates the construction of a reliable perceptual texture space, which can be used as a yardstick for assessing the perceptual consistency of computational features and similarity measurements. Moreover, it is found that commonly used computational texture features are not very consistent with human perception, and mapping them to the perceptual space improves their perceptual consistency.
Source Title: IJCAI International Joint Conference on Artificial Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/78283
ISSN: 10450823
Appears in Collections:Staff Publications

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