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» Image Segmentation Using Local Variation
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ICIP
2009
IEEE
13 years 5 months ago
Single image defocus map estimation using local contrast prior
Image defocus estimation is useful for several applications including deblurring, blur magnification, measuring image quality, and depth of field segmentation. In this paper, we p...
Yu-Wing Tai, Michael S. Brown
MVA
2007
309views Computer Vision» more  MVA 2007»
13 years 7 months ago
Robust Facial Feature Extraction Using Embedded Hidden Markov Model for Face Recognition under Large Pose Variation
We propose an algorithm for extracting facial features robustly from images for face recognition under large pose variation. Rectangular facial features are retrieved via the by-p...
Ping-Han Lee, Yun-Wen Wang, Jison Hsu, Ming-Hsuan ...
ECCV
1992
Springer
14 years 9 months ago
Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model
This paper presents a computational model that segments images based on the textural properties of object surfaces. The proposed Coupled-Membrane model applies the weak membrane ap...
Tai Sing Lee, David Mumford, Alan L. Yuille
DAS
2010
Springer
14 years 16 days ago
Binarization of historical document images using the local maximum and minimum
This paper presents a new document image binarization technique that segments the text from badly degraded historical document images. The proposed technique makes use of the imag...
Bolan Su, Shijian Lu, Chew Lim Tan
MVA
2000
154views Computer Vision» more  MVA 2000»
13 years 7 months ago
A Face Recognition Algorithm Robust Against Illumination Variations Using 3-Dimensional Face Shape
The authors propose a face recognition algorithm robust against the illumination variations, using an average face shape. The objective of this paper is two-fold: (1) to propose a...
Hitoshi Imaoka, Shizuo Sakamoto