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» Using multiscale top points in image matching
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BIBE
2009
IEEE
135views Bioinformatics» more  BIBE 2009»
14 years 7 months ago
Vascular Tree Construction with Anatomical Realism for Retinal Images
In this paper, we present a method to automatically extract the vessel segments and construct the vascular tree with anatomical realism from a color retinal image. The significanc...
Kai-Shung Lin, Chia-Ling Tsai, Michal Sofka, Chih-...
SIGGRAPH
1998
ACM
15 years 1 months ago
A Multiscale Model of Adaptation and Spatial Vision for Realistic Image Display
In this paper we develop a computational model of adaptation and spatial vision for realistic tone reproduction. The model is based on a multiscale representation of pattern, lumi...
Sumanta N. Pattanaik, James A. Ferwerda, Mark D. F...
ACIVS
2007
Springer
15 years 3 months ago
Descriptor-Free Smooth Feature-Point Matching for Images Separated by Small/Mid Baselines
Abstract. Most existing feature-point matching algorithms rely on photometric region descriptors to distinct and match feature points in two images. In this paper, we propose an eï...
Ping Li, Dirk Farin, Rene Klein Gunnewiek, Peter H...
DAGM
2004
Springer
15 years 3 months ago
Scale-Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search
The goal of our work is object categorization in real-world scenes. That is, given a novel image we want to recognize and localize unseen-before objects based on their similarity t...
Bastian Leibe, Bernt Schiele
VIS
2009
IEEE
199views Visualization» more  VIS 2009»
15 years 10 months ago
Multi-Scale Surface Descriptors
Local shape descriptors compactly characterize regions of a surface, and have been applied to tasks in visualization, shape matching, and analysis. Classically, curvature has be us...
Gregory Cipriano, George N. Phillips Jr., Michae...