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ETVC
2008
15 years 2 months ago
Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy
Computational anatomy is an emerging discipline that aims at analyzing and modeling the individual anatomy of organs and their biological variability across a population. The goal ...
Xavier Pennec
96
Voted
CVPR
2005
IEEE
16 years 2 months ago
Scene-Adapted Structured Light
In order to overcome several limitations of structured light 3D acquisition methods, the colors, intensities, and shapes of the projected patterns are adapted to the scene. Based ...
Thomas P. Koninckx, Pieter Peers, Philip Dutr&eacu...
110
Voted
CVPR
2007
IEEE
16 years 2 months ago
A minimal solution to the autocalibration of radial distortion
Epipolar geometry and relative camera pose computation are examples of tasks which can be formulated as minimal problems and solved from a minimal number of image points. Finding ...
Tomás Pajdla, Zuzana Kukelova
86
Voted
MICCAI
2009
Springer
16 years 1 months ago
A Shape Relationship Descriptor for Radiation Therapy Planning
In this paper we address the challenge of matching patient geometry to facilitate the design of patient treatment plans in radiotherapy. To this end we propose a novel shape descri...
Michael M. Kazhdan, Patricio D. Simari, Todd McNut...
CVPR
2010
IEEE
15 years 8 months ago
Multi-View Object Class Detection With a 3D Geometric Model
This paper presents a new approach for multi-view object class detection. Appearance and geometry are treated as separate learning tasks with different training data. Our approach...
Joerg Liebelt, Cordelia Schmid