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5396views
17 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
155
Voted
GBRPR
2007
Springer
15 years 10 months ago
Generalized vs Set Median Strings for Histogram-Based Distances: Algorithms and Classification Results in the Image Domain
We compare different statistical characterizations of a set of strings, for three different histogram-based distances. Given a distance, a set of strings may be characterized by it...
Christine Solnon, Jean-Michel Jolion
IPCV
2010
15 years 4 months ago
3D Camera-based Generic Gesture Analysis for Video Game Interface
- Conventional video games are controlled by players via physical game controllers. A new emerging trend for game control in recent years is to use intelligent sensor based interfa...
Gang Hu, Qigang Gao
ICIP
2005
IEEE
16 years 8 months ago
On object-based compression for a class of dynamic image-based representations
An object-based compression scheme for a class of dynamic image-based representations called "plenoptic videos" (PVs) is studied in this paper. PVs are simplified dynami...
Qing Wu, King To Ng, Shing-Chow Chan, Heung-Yeung ...
203
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CVPR
2012
IEEE
13 years 8 months ago
Multi-class cosegmentation
Bottom-up, fully unsupervised segmentation remains a daunting challenge for computer vision. In the cosegmentation context, on the other hand, the availability of multiple images ...
Armand Joulin, Francis Bach, Jean Ponce