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CVPR
2007
IEEE
16 years 8 months ago
Iterative MAP and ML Estimations for Image Segmentation
Image segmentation plays an important role in computer vision and image analysis. In this paper, the segmentation problem is formulated as a labeling problem under a probability m...
Shifeng Chen, Liangliang Cao, Jianzhuang Liu, Xiao...
ICCV
1999
IEEE
16 years 8 months ago
Illumination Distribution from Brightness in Shadows: Adaptive Estimation of Illumination Distribution with Unknown Reflectance
This paper describes a new method for estimating the illumination distribution of a real scene from a radiance distribution inside shadows cast by an object in the scene. First, t...
Imari Sato, Yoichi Sato, Katsushi Ikeuchi
ECCV
2008
Springer
16 years 8 months ago
Discriminative Learning for Deformable Shape Segmentation: A Comparative Study
Abstract. We present a comparative study on how to use discriminative learning methods such as classification, regression, and ranking to address deformable shape segmentation. Tra...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
ICIP
2005
IEEE
16 years 8 months ago
Hybrid recursive energy-based method for robust optical flow on large motion fields
We present a new reliable hybrid recursive method for optical flow estimation. The method efficiently combines the advantage of discrete motion estimation and optical flow estimati...
Jangheon Kim, Thomas Sikora
ICIP
2005
IEEE
16 years 8 months ago
Augmented particle filtering for efficient visual tracking
Visual tracking is one of the key tasks in computer vision. The particle filter algorithm has been extensively used to tackle this problem due to its flexibility. However the conv...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...