Detecting the pose of rigid objects: A comparison of paradigms

George Stockman, Sei Wang Chen

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)107-116
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 1987 Aug 21
Externally publishedYes

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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