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16 years 8 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
GBRPR
2007
Springer
15 years 1 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
98
Voted
IPCV
2010
14 years 7 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
15 years 11 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 ...
CVPR
2012
IEEE
12 years 12 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