Robustly aligning a shape model and its application to car alignment of unknown pose

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 33, Issue 9, 2011, Pages 1860-1876

  Li, Yan ^a   Gu, Leon ^b   Kanade, Takeo ^c  

^a MICROSOFT   (United States)

^b WorldQuant LLC   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

ASM; RANSAC; Shape alignment

Indexed keywords

ALIGNMENT METHODS; ASM; BACKGROUND SCENES; BAYESIAN INFERENCE; DATA SETS; FEATURE DETECTION; FEATURE POINT; GAUSSIANS; OBJECT SHAPE; OBSERVATION NOISE; OBSERVED DATA; PARTIAL OCCLUSIONS; RANSAC; REGULARIZATION PROCESS; SHAPE ALIGNMENT; SHAPE MODEL; SHAPE PREDICTION; SPURIOUS FEATURES;

BAYESIAN NETWORKS; GAUSSIAN NOISE (ELECTRONIC); IMAGE MATCHING; INFERENCE ENGINES;

ALIGNMENT;

ALGORITHM; BAYES THEOREM; CAR; CLASSIFICATION; IMAGE PROCESSING; PROCEDURES; THEORETICAL MODEL;

ALGORITHMS; AUTOMOBILES; BAYES THEOREM; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, THEORETICAL;

EID: 80054922183     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2011.40     Document Type: Article

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