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» Object Recognition Using Segmentation for Feature Detection
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ICPR
2008
IEEE
15 years 8 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
145
Voted
CVPR
2008
IEEE
15 years 2 months ago
Globally optimal surface segmentation using regional properties of segmented objects
Efficient segmentation of globally optimal surfaces in volumetric images is a central problem in many medical image analysis applications. Intra-class variance has been successful...
Xin Dou, Xiaodong Wu, Andreas Wahle, Milan Sonka
ICPR
2006
IEEE
16 years 2 months ago
Fast Linear Feature Detection Using Multiple Directional Non-Maximum Suppression
Linear feature detection is a very important issue in the areas of image analysis, computer vision, and pattern recognition. It has found applications in many diverse areas such a...
Changming Sun, Pascal Vallotton
WACV
2005
IEEE
15 years 7 months ago
Shared Features for Scalable Appearance-Based Object Recognition
We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
Erik Murphy-Chutorian, Jochen Triesch
94
Voted
ICIP
1999
IEEE
16 years 3 months ago
Region-Based Video Segmentation Using DCT Coefficients
A region-based video segmentation algorithm, which is based on 8 x 8 block, is proposed to segment moving objects in a video sequence. The proposed video segmentation can be perfo...
S. Ji, Heung-Won Park