Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
Abstract--We present an explicit formula for B-spline convolution kernels; these are defined as the convolution of several B-splines of variable widths and degrees . We apply our r...
This paper presents a new approach for 3D human walking modeling from monocular image sequences. An efficient feature point selection and tracking approach has been used to compute...
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Information theoretic tools lead to the design and analysis of new blind data hiding methods. A novel quantizationbased blind method, which uses trellis coded quantization, is pro...