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 ...
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...
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...
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...
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...