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SCALESPACE
2005
Springer
14 years 29 days ago
Texture Mapping via Spherical Multi-dimensional Scaling
Abstract. We present a technique for texture mapping arbitrary sphere-like surfaces with minimal distortions by spherical embedding. The embedding is computed using spherical multi...
Asi Elad (Elbaz), Yosi Keller, Ron Kimmel
PR
2007
141views more  PR 2007»
13 years 7 months ago
A Riemannian approach to graph embedding
In this paper, we make use of the relationship between the Laplace–Beltrami operator and the graph Laplacian, for the purposes of embedding a graph onto a Riemannian manifold. T...
Antonio Robles-Kelly, Edwin R. Hancock
CVPR
2010
IEEE
13 years 10 months ago
Metric-Induced Optimal Embedding for Intrinsic 3D Shape Analysis
For various 3D shape analysis tasks, the LaplaceBeltrami(LB) embedding has become increasingly popular as it enables the efficient comparison of shapes based on intrinsic geometry...
Rongjie Lai, Yonggang Shi, Kevin Scheibel, Scott F...
IVC
2007
173views more  IVC 2007»
13 years 7 months ago
Outdoor recognition at a distance by fusing gait and face
We explore the possibility of using both face and gait in enhancing human recognition at a distance performance in outdoor conditions. Although the individual performance of gait ...
Zongyi Liu, Sudeep Sarkar
IPMI
2003
Springer
14 years 8 months ago
Learning Object Correspondences with the Observed Transport Shape Measure
Abstract. We propose a learning method which introduces explicit knowledge to the object correspondence problem. Our approach uses an a priori learning set to compute a dense corre...
Alain Pitiot, Hervé Delingette, Arthur W. T...