A numerical study of the bottom-up and top-down inference processes in and-or graphs

DOI10.1007/S11263-010-0346-6zbMath1235.68317OpenAlexW2092919213MaRDI QIDQ408929

Tianfu Wu, Song-Chun Zhu

Publication date: 12 April 2012

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-010-0346-6

zbMATH Keywords

hierarchical modelobject parsing\(\alpha -\beta -\gamma \) processand-or graphbottom-up/top-down inferenceinformation contribution

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Graph theory (including graph drawing) in computer science (68R10) Machine vision and scene understanding (68T45)

Related Items (3)

Illusory shapes via first-order phase transition and approximation ⋮ Context, computation, and optimal ROC performance in hierarchical models ⋮ Visual saliency with statistical priors

Uses Software

• Psychophysics Toolbox

Cites Work

• Putting objects in perspective
• Efficient blind search: optimal power of detection under computational cost constraints
• Contextual priming for object detection
• Hierarchical testing designs for pattern recognition
• A Stochastic Grammar of Images
• Generalized best-first search strategies and the optimality of A*
• Composition systems
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