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CAIP
2003
Springer
222views Image Analysis» more  CAIP 2003»
15 years 5 months ago
Learning Statistical Structure for Object Detection
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
Henry Schneiderman
ICIP
1999
IEEE
16 years 2 months ago
Simplified Segmentation for Compound Image Compression
There are three basic segmentation schemes for compound image compression: object-based, layer-based, and block-based. This work discusses the relative advantages of each scheme a...
Amir Said, Alexander Drukarev
CVPR
2005
IEEE
16 years 2 months ago
A New Active Contour Method Based on Elastic Interaction
Image segmentation is defined as partitioning an image into non-overlapping regions based on the intensity or texture. The active contour methods provide an effective way for segm...
Yang Xiang, Albert C. S. Chung, Jian Ye
CVPR
2012
IEEE
13 years 2 months ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
144
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Detecting moving objects from dynamic background with shadow removal
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
Shih-Chieh Wang, Te-Feng Su, Shang-Hong Lai