A Bayesian approach to object detection using probabilistic appearance-based models

DOI10.1007/s10044-004-0230-5zbMath1423.68524OpenAlexW4252288950MaRDI QIDQ851713

Rozenn Dahyot, Pierre Charbonnier, Fabrice Heitz

Publication date: 22 November 2006

Published in: PAA. Pattern Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://mural.maynoothuniversity.ie/15128/1/RD_a%20bayesian.pdf

zbMATH Keywords

M-estimatorsprobabilistic PCABayesian approacheigenspace representationhalf-quadratic algorithmsnon-Gaussian models

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Machine vision and scene understanding (68T45)

Uses Software

• COIL-20

Cites Work

• A low complexity approximation of probabilistic appearance models.
• 10.1162/153244304322972667
• Probabilistic Principal Component Analysis
• Principal Curves
• Probable networks and plausible predictions — a review of practical Bayesian methods for supervised neural networks
• Robust Statistics
• Self-organizing maps.