Towards a Bayesian approach to Robust finding correspondences in multiple view geometry environments

Lecture Notes in Computer Science

Volumn 3515, Issue II, 2005, Pages 281-289

  Canton Ferrer, Cristian ^a   Casas, Josep R ^a   Pardàs, Montse ^a  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CAMERAS; IMAGE SEGMENTATION; LEARNING SYSTEMS; OBJECT RECOGNITION; BAYESIAN NETWORKS; GEOMETRY; OBJECT DETECTION;

BAYESIAN APPROACH; LEARNING TECHNIQUE; MOVING OBJECTS; POINT BASED FEATURE (PBF); BAYESIAN APPROACHES; BAYESIAN FRAMEWORKS; CALIBRATED CAMERAS; FOREGROUND REGIONS; LEARNING TECHNIQUES; MULTIPLE VIEW GEOMETRY; POINT BASED FEATURES; SEVERE OCCLUSIONS;

COMPUTATIONAL METHODS; BARIUM COMPOUNDS;

EID: 25144447386     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11428848_35     Document Type: Conference Paper

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