Labelling 2-D geometric primitives using probabilistic relaxation: Reducing the computational requirements

Electronics Letters

Volumn 32, Issue 4, 1996, Pages 312-314

  Christmas, W J ^a   Kittler, J ^a   Petrou, M ^a  

^a NONE

Author keywords

Computer vision; Object recognition

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; COMPUTER SIMULATION; COMPUTER VISION; ITERATIVE METHODS; MATHEMATICAL MODELS; OBJECT RECOGNITION; PROBABILITY;

COMPUTATIONAL REQUIREMENTS; OBJECT LABELLING; PROBABILISTIC RELAXATION; TWO DIMENSIONAL FEATURES;

FEATURE EXTRACTION;

EID: 0030085744     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:19960278     Document Type: Article

References (2)

1. CHRISTMAS, W.J., KITTLER, J., and PETROU, M.: 'Non-iterative contextual correspondence matching'. Computer Vision - ECCV'94, 1994, (Springer-Verlag, Stockholm, Sweden), 2. pp. 137-142
2. CHRISTMAS. W.J., KITTLER, J., and PETROU, M.: 'Matching in computer vision using probabilistic relaxation', IEEE Trans. Pattern Anal. Mach. Intell., 1995, 17, (8), pp. 749-764