Title :
Hierarchical stereo matching using feature groupings
Author :
Venkateswar, V. ; Chellappa, R.
Author_Institution :
Texas Instruments, Dallas, TX, USA
Abstract :
A feature based stereo matching system is designed. A hierarchical grouping process that groups line segments into more complex structures that are easier to match is proposed. The hierarchy consists of lines, vertices, edges and surfaces. Matching starts at the highest level of the hierarchy (surfaces) and proceeds to the lowest (lines). Higher level features are easier to match, because they are fewer in number and more distinct in form. These matches then constrain the matches at lower levels. Perceptual and structural relations are used to group matches into islands of certainty. A truth maintenance system (TMS) is used to enforce grouping constraints and eliminates inconsistent match groupings
Keywords :
pattern recognition; picture processing; edges; feature groupings; hierarchical grouping process; line segments; lines; stereo matching system; surfaces; truth maintenance system; vertices; Cameras; Educational institutions; Geometry; Image segmentation; Instruments; Layout; Polynomials; Process design; Topology; Uncertainty;
Conference_Titel :
Tools for Artificial Intelligence, 1991. TAI '91., Third International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
0-8186-2300-4
DOI :
10.1109/TAI.1991.167100