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» Randomness and Geometric Features in Computer Vision
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CVPR
2010
IEEE
14 years 3 months ago
A Diffusion Approach to Seeded Image Segmentation
Seeded image segmentation is a popular type of supervised image segmentation in computer vision and image processing. Previous methods of seeded image segmentation treat the image...
Juyong Zhang, Jianmin Zheng, Jianfei Cai
CVPR
2011
IEEE
12 years 11 months ago
Symmetric Piecewise Planar Object Reconstruction from a Single Image
Recovering 3D geometry from a single view of an object is an important and challenging problem in computer vision. Previous methods mainly focus on one specific class of objects ...
Tianfan XUE, Jianzhuang LIU
ACCV
2006
Springer
14 years 1 months ago
A Multi-Layer MRF Model for Video Object Segmentation
A novel video object segmentation method is proposed which aims at combining color and motion information. The model has a multilayer structure: Each feature has its own layer, cal...
Zoltan Kato, Ting-Chuen Pong
EMMCVPR
2001
Springer
14 years 3 days ago
3D Flux Maximizing Flows
A number of geometric active contour and surface models have been proposed for shape segmentation in the literature. The essential idea is to evolve a curve (in 2D) or a surface (i...
Kaleem Siddiqi, Alexander Vasilevskiy
ICPR
2010
IEEE
14 years 11 days ago
On the Dimensionality Reduction for Sparse Representation Based Face Recognition
Face recognition (FR) is an active yet challenging topic in computer vision applications. As a powerful tool to represent high dimensional data, recently sparse representation bas...
Lei Zhang, Meng Yang, Zhizhao Feng, David Zhang