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CVPR
2008
IEEE
16 years 6 months ago
Auto-context and its application to high-level vision tasks
The notion of using context information for solving highlevel vision problems has been increasingly realized in the field. However, how to learn an effective and efficient context...
Zhuowen Tu
ICCV
2007
IEEE
16 years 6 months ago
Capacity Scaling for Graph Cuts in Vision
Capacity scaling is a hierarchical approach to graph representation that can improve theoretical complexity and practical efficiency of max-flow/min-cut algorithms. Introduced by ...
Olivier Juan, Yuri Boykov
138
Voted
PERCOM
2006
ACM
16 years 4 months ago
Cantag: an open source software toolkit for designing and deploying marker-based vision systems
This paper presents Cantag, an open source software toolkit for building Marker-based Vision (MBV) systems that can identify and accurately locate printed markers in three dimensi...
Andrew C. Rice, Alastair R. Beresford, Robert K. H...
133
Voted
IROS
2007
IEEE
240views Robotics» more  IROS 2007»
15 years 11 months ago
Biologically-inspired robotics vision monte-carlo localization in the outdoor environment
— We present a robot localization system using biologically-inspired vision. Our system models two extensively studied human visual capabilities: (1) extracting the “gist” of...
Christian Siagian, Laurent Itti
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 10 months ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko