21 August 1987 Detecting The Pose Of Rigid Objects : A Comparison Of Paradigms
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Proceedings Volume 0754, Optical and Digital Pattern Recognition; (1987); doi: 10.1117/12.939974
Event: OE LASE'87 and EO Imaging Symposium, 1987, Los Angeles, CA, United States
Abstract
The geometric constraints available in the structure of rigid objects can easily be exploited by matching algorithms for both object recog-nition and localization. Two matching paradigms; --pose clustering, hypothesize and test are discussed and compared with respect to accuracy, computational cost, and operation in noisy and multiple object environments. Each paradigm offers certain relative advantages and implies a certain computer architecture. All algorithms in each category ultimately depend on adequate detection of primitive features and may encounter large increases in computation time in going from a single object to a multiple object environment.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
George Stockman, Sei-Wang Chen, "Detecting The Pose Of Rigid Objects : A Comparison Of Paradigms", Proc. SPIE 0754, Optical and Digital Pattern Recognition, (21 August 1987); doi: 10.1117/12.939974; https://doi.org/10.1117/12.939974
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KEYWORDS
Data modeling

3D modeling

Information technology

Nanoimprint lithography

Error analysis

Optical pattern recognition

Detection and tracking algorithms

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