Abstract. We propose a new computational method for segmenting topological sub-dimensional point-sets in scalar images of arbitrary spatial dimensions. The technique is based on co...
Stiliyan Kalitzin, Joes Staal, Bart M. ter Haar Ro...
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
This paper is aimed at evaluating the semantic information content of multiscale, low-level image segmentation. As a method of doing this, we use selected features of segmentation...
We propose a novel scene image segmentation algorithm based on Perceptual Organization. We develop a Perceptual Organization model by quantitatively incorporating a list of Gestal...
Chang Cheng, Andreas Koschan, David L. Page, Mongi...
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...