Title :
A computational model of visual perception of surfaces
Author :
Eghbalnia, H. ; Assadi, Amir
Author_Institution :
Wisconsin Univ., WI, USA
Abstract :
Models of processes underlying human perception of geometric forms are helpful in addressing the nature of computations performed by the brain in understanding images from environment. Perceptual geometry is an emerging field of interdisciplinary research whose objectives focus on study of geometry from the perspective of visual perception, and in turn, apply such geometric findings to the ecological study of vision. Perceptual geometry attempts to answer fundamental questions in perception of form and representation of space through synthesis of cognitive and biological theories of visual perception with geometric theories of the physical world. The following model appeals to perceptual geometry as a framework that takes advantage of "almost regularity" of 2-dimensional images of surfaces, in order to estimate of their shape, orientation and other geometric features.
Keywords :
physiological models; visual perception; 2-dimensional images; almost regularity; biological theories; brain; cognitive theories; computational model; geometric forms; human perception; perceptual geometry; visual perception; Biological information theory; Biomedical optical imaging; Computational modeling; Geometry; Humans; Layout; Psychology; Solid modeling; Transmission line matrix methods; Visual perception;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1224031