Finding Objects By Grouping Primitives
CONFERENCE RECORD OF THE THIRTY-SECOND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2(1998)
摘要
We describe the use of a representation, called a body plan, to segment and to recognize people and animals in complex environments. The representation is an organized collection of grouping hints obtained from a combination of constraints on color and texture and constraints on geometric properties such as the structure of individual parts and the relationships between parts.The approach is illustrated with two examples of programs that successfully use body plans for recognition: one example involves determining whether a picture contains a scantily clad human, using a body plan built by hand; the other involves determining whether a picture contains a horse, using a body plan learned from image data. In both cases, the system demonstrates excellent performance on large, uncontrolled test sets and very large and diverse control sets. The mechanism of recognition by assembly is very general we describe recent work; on Ending clothing by marking folds and theta assembling groups of folds.
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关键词
object recognition,image segmentation,computer vision,image texture
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