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» Semantic segmentation using regions and parts
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Book
5396views
15 years 6 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
CVPR
2008
IEEE
14 years 9 months ago
Selective hidden random fields: Exploiting domain-specific saliency for event classification
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
Vidit Jain, Amit Singhal, Jiebo Luo
CBMS
2003
IEEE
14 years 23 days ago
Localizing Contour Points for Indexing an X-Ray Image Retrieval System
Vertebra shape can effectively describe various pathologies found in spine x-ray images. There are some critical regions on the shape contour which help determine whether the shap...
Xiaoqian Xu, D. J. Lee, Sameer Antani, L. Rodney L...
CAIP
1999
Springer
157views Image Analysis» more  CAIP 1999»
13 years 11 months ago
Free-Form Surface Description in Multiple Scales: Extension to Incomplete Surfaces
A novel technique for multi-scale smoothing of a free-form 3-D surface is presented. Diffusion of the surface is achieved through convolutions of local parametrisations of the su...
Nasser Khalili, Farzin Mokhtarian, Peter Yuen
NPAR
2010
ACM
14 years 9 days ago
Sisley the abstract painter
We present an interactive abstract painting system named Sisley. Sisley works upon the psychological principle [Berlyne 1971] that abstract arts are often characterized by their gr...
Mingtian Zhao, Song Chun Zhu