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» Object recognition and Random Image Structure Evolution
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5396views
15 years 5 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
CVIU
2007
193views more  CVIU 2007»
13 years 6 months ago
Interpretation of complex scenes using dynamic tree-structure Bayesian networks
This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...
Sinisa Todorovic, Michael C. Nechyba
ECCV
2004
Springer
14 years 4 days ago
Robust Encoding of Local Ordinal Measures: A General Framework of Iris Recognition
Abstract. The randomness of iris pattern makes it one of the most reliable biometric traits. On the other hand, the complex iris image structure and various sources of intra-class ...
Zhenan Sun, Tieniu Tan, Yunhong Wang
MVA
2007
158views Computer Vision» more  MVA 2007»
13 years 6 months ago
Hybrid object labelling in digital images
The application of a technique for labelling connected components based on the classical recursive technique is studied. The recursive approach permits labelling, counting, and cha...
Julio Martín-Herrero
IJVR
2008
208views more  IJVR 2008»
13 years 5 months ago
A View-based Multiple Objects Tracking and Human Action Recognition for Interactive Virtual Environments
As environments become smart in accordance with advances in ubiquitous computing technology, researchers are struggling to satisfy users' diverse and sophisticated demands. Th...
Jin Choi, Yong-il Cho, Kyusung Cho, Su-jung Bae, H...