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ICCV
2003
IEEE
16 years 8 months ago
Weighted and Robust Incremental Method for Subspace Learning
Visual learning is expected to be a continuous and robust process, which treats input images and pixels selectively. In this paper we present a method for subspace learning, which...
Danijel Skocaj, Ales Leonardis
CVPR
2010
IEEE
16 years 2 months ago
Rapid Selection of Reliable Templates for Visual Tracking
We propose a method that rates the suitability of given templates for template-based tracking in real-time. This is important for applications with online template selection, such...
Nicolas Alt, Stefan Hinterstoisser, Nassir Navab
DAGM
2004
Springer
16 years 1 days ago
Estimation of Multiple Orientations at Corners and Junctions
Abstract. Features like junctions and corners are a rich source of information for image understanding. We present a novel theoretical framework for the analysis of such 2D feature...
Cicero Mota, Ingo Stuke, Til Aach, Erhardt Barth
ICWE
2004
Springer
16 years 12 hour ago
Engineering a Semantic Web for Pathology
Abstract. Digital pathology or telepathology intends to extend the usage of electronic images for diagnostical, support or educational purposes in anatomical or clinical pathology....
Robert Tolksdorf, Elena Paslaru Bontas
IBPRIA
2003
Springer
15 years 12 months ago
Active Region Segmentation of Mammographic Masses Based on Texture, Contour and Shape Features
Abstract. In this paper we propose a supervised method for the segmentation of masses in mammographic images. The algorithm starts with a selected pixel inside the mass, which has ...
Joan Martí, Jordi Freixenet, Xavier Mu&ntil...