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» Posture Invariant Surface Description and Feature Extraction
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ICETET
2009
IEEE
13 years 2 months ago
Face Description with Local Invariant Features: Application to Face Recognition
A completely automatic face recognition system is presented. The method works on color face images and localizes the face region from them initially. It then determines and select...
Sanjay A. Pardeshi, S. N. Talbar
GI
2007
Springer
13 years 11 months ago
Translation and Rotation Invariant Histogram Features for Series of Images
Abstract: Some surfaces, like metallic and varnished ones, can only be properly controlled, if they are inspected under different illumination directions. This requires a three-dim...
Ana Pérez Grassi, Fernando Puente Leó...
CVPR
2009
IEEE
1070views Computer Vision» more  CVPR 2009»
14 years 11 months ago
Surface Feature Detection and Description with Applications to Mesh Matching
In this paper we revisit local feature detectors/descriptors developed for 2D images and extend them to the more general framework of scalar fields defined on 2D manifolds. We pro...
Andrei Zaharescu (INRIA Grenoble), Edmond Boyer (L...
COMSIS
2010
13 years 2 months ago
3D mesh skeleton extraction using prominent segmentation
Skeleton of 3D mesh is a fundamental shape feature, and is useful for shape description and other many applications in 3D Digital Geometry Processing. This paper presents a novel s...
Xiaopeng Sun, J. Pan, Xiaopeng Wei
ICCV
2007
IEEE
14 years 6 months ago
Perspectively Invariant Normal Features
We extend the successful 2D robust feature concept into the third dimension in that we produce a descriptor for a reconstructed 3D surface region. The descriptor is perspectively ...
Kevin Köser, Reinhard Koch