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16 years 11 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
ICCV
2007
IEEE
16 years 2 months ago
Applications of parametric maxflow in computer vision
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
Vladimir Kolmogorov, Yuri Boykov, Carsten Rother
ECCV
2004
Springer
15 years 5 months ago
An AR Human Computer Interface for Object Localization in a Cognitive Vision Framework
Abstract. In the European cognitive vision project VAMPIRE (IST2001-34401), mobile AR-kits are used for interactive teaching of a visual active memory. This is achieved by 3D augme...
Hannes Siegl, Gerald Schweighofer, Axel Pinz
CVPR
2012
IEEE
13 years 2 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
DICTA
2003
15 years 1 months ago
TLIB: A Real-time Computer Vision Library for HCI
A computer vision software library is a key component of vision-based applications. While there are several existing libraries, most are large and comple or limited to a particular...
Sébastien Grange, Terry Fong, Charles Baur