This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
This paper proposes a new method of designing finitesupport wavelet filters, based on minimization of energy in key parts of the frequency domain. In particular this technique is ...
This paper deals with the use of vector-connected filters for eliminating Gaussian noise in colour images. This class of morphological filters suppresses noise but preserves the c...
Fernando Torres Medina, Francisco Ortiz, Pablo Gil
The task of reconstructing the derivative of a discrete function is essential for its shading and rendering as well as being widely used in image processing and analysis. We surve...
This paper explores the concept of early discard for interactive search of unindexed data. Processing data inside storage devices using downloaded searchlet code enables Diamond t...
Larry Huston, Rahul Sukthankar, Rajiv Wickremesing...