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BMVC
2010
13 years 7 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
ICIP
1998
IEEE
14 years 10 months ago
3D Motion Estimation using Expansion Matching and KL based Canonical Images
This paper describes a novel approach to 3D motion estimation of planar objects based on eigennormalization, Expansion Matching (EXM) and a scaled orthographic projection model. O...
Zhiqian Wang, Jezekiel Ben-Arie
MVA
2007
285views Computer Vision» more  MVA 2007»
13 years 8 months ago
Contour Retrieval and Matching by Affine Invariant Fourier Descriptors
In the image plane, a 3 Dimensional movement of planar rigid object can be represented satisfactory by an affine motion of his boundary (the exterior contour) which we assume to b...
Fatma Chaker, M. Tarak Bannour, Faouzi Ghorbel
ICPR
2002
IEEE
14 years 10 months ago
Planar Shape Recognition across Multiple Views
Multiview studies in Computer Vision have concentrated on the constraints satisfied by individual primitives such as points and lines. Not much attention has been paid to the prop...
Sujit Kuthirummal, C. V. Jawahar, P. J. Narayanan
ICIAP
2007
ACM
14 years 3 months ago
k-dimensional Size Functions for Shape Description and Comparison
This paper advises the use of k-dimensional size functions for comparison and retrieval in the context of multidimensional shapes, where by shape we mean something in two or highe...
Andrea Cerri, Silvia Biasotti, Daniela Giorgi