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120
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CVPR
2007
IEEE
16 years 5 months ago
Robust Occlusion Handling in Object Tracking
In object tracking, occlusions significantly undermine the performance of tracking algorithms. Unlike the existing methods that solely depend on the observed target appearance to ...
Jiyan Pan, Bo Hu
136
Voted
ICANN
2009
Springer
15 years 10 months ago
Multimodal Sparse Features for Object Detection
In this paper the sparse coding principle is employed for the representation of multimodal image data, i.e. image intensity and range. We estimate an image basis for frontal face i...
Martin Haker, Thomas Martinetz, Erhardt Barth
154
Voted
CVPR
2004
IEEE
15 years 7 months ago
Scale-Invariant Shape Features for Recognition of Object Categories
We introduce a new class of distinguished regions based on detecting the most salient convex local arrangements of contours in the image. The regions are used in a similar way to ...
Frédéric Jurie, Cordelia Schmid
145
Voted
CVPR
2008
IEEE
15 years 5 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
130
Voted
MVA
1994
224views Computer Vision» more  MVA 1994»
15 years 5 months ago
3D Object Model Fitting to Still Images Using Linear Combination Method of 2D Aspect Images
This paper describes a method for fitting 3D object model to still (single) 2D observed image by searching for the model's optimum posture parameters in the parameter space t...
Hiroyasu Sakamoto, Masahide Kawakami