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» Image Categorization Using Local Probabilistic Descriptors
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ACIVS
2007
Springer
14 years 1 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...
CVPR
2011
IEEE
13 years 3 months ago
Deformation and Illumination Invariant Feature Point Descriptor
Recent advances in 3D shape recognition have shown that kernels based on diffusion geometry can be effectively used to describe local features of deforming surfaces. In this paper...
Francesc Moreno (Institut de Robotica i Informatic...
DAGM
2004
Springer
14 years 1 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
MICCAI
2006
Springer
14 years 8 months ago
Registration of Microscopic Iris Image Sequences Using Probabilistic Mesh
Abstract. This paper explores the use of deformable mesh for registration of microscopic iris image sequences. The registration, as an effort for stabilizing and rectifying images ...
Xubo B. Song, Andriy Myronenko, Stephen R. Plank, ...
CVPR
2011
IEEE
13 years 4 months ago
Functional Categorization of Objects using Real-time Markerless Motion Capture
Unsupervised categorization of objects is a fundamental problem in computer vision. While appearance-based methods have become popular recently, other important cues like function...
Juergen Gall, Andrea Fossati, Luc VanGool