Title :
Accidental alignments-an approach to qualitative vision
Author :
Mukerjee, Amitabha
Author_Institution :
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
Abstract :
A novel approach to building qualitative models for vision based on the functionally relevant attributes of each object is presented. The spatial discretization used is derived systematically, and is complete under the conditions of tangency, no-contact, and overlap. Each object is decomposed into simpler qualitative generalized cylinders, and the join operations are specified by a new three-dimensional qualitative model for space. Results are shown for applications in two and three dimensions
Keywords :
computer vision; computerised picture processing; 3D qualitative model; accidental alignments; computer vision; functionally relevant attributes; no-contact condition; overlap condition; qualitative vision; spatial discretization; tangency condition; Algebra; Character recognition; Computer science; Data structures; Face recognition; Geometry; Motion analysis; Power system modeling; Shape; Solid modeling;
Conference_Titel :
Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
Conference_Location :
Sacramento, CA
Print_ISBN :
0-8186-2163-X
DOI :
10.1109/ROBOT.1991.131739
