Title :
A computational model for understanding three-dimensional view space
Author_Institution :
Dalhousie Univ., Halifax, NS, Canada
Abstract :
This paper presents a computational model for understanding three-dimensional (3D) view space. In the approach, object faces are used as perceptual entities in accordance with the visual perception on shape constancy and face-pose consistency. To accommodate the perceptual knowledge of face visibilities of objects, a perceptual model of view space is developed from which the shape constancy can be perceived and face-pose consistency can be estimated qualitatively
Keywords :
object recognition; set theory; 3D view space; computational model; face-pose consistency; object faces; perceptual entities; shape constancy; three-dimensional view space; visual perception; Cameras; Computational modeling; Extraterrestrial measurements; Face detection; H infinity control; Humans; Object recognition; Position measurement; Shape; Visual perception;
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3280-6
DOI :
10.1109/ICSMC.1996.571193