A two-stage probabilistic approach for object recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1407, Issue , 1998, Pages 733-747

  Li, Stan Z ^a   Hornegger, Joachim ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; MARKOV PROCESSES; MAXIMUM LIKELIHOOD ESTIMATION; OBJECT RECOGNITION;

CONTEXTUAL CONSTRAINTS; FEATURE CORRESPONDENCE; LIKELIHOOD DISTRIBUTION; MARKOV RANDOM FIELDS; MAXIMUM A POSTERIORI; POSTERIOR DISTRIBUTIONS; PROBABILISTIC APPROACHES; PROBABILISTIC FORMULATION;

COMPUTER VISION;

EID: 84957799530     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/BFb0054776     Document Type: Conference Paper

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