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» Surface Reconstruction using Learned Shape Models
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AAAI
2008
15 years 5 months ago
Potential-based Shaping in Model-based Reinforcement Learning
Potential-based shaping was designed as a way of introducing background knowledge into model-free reinforcement-learning algorithms. By identifying states that are likely to have ...
John Asmuth, Michael L. Littman, Robert Zinkov
CVPR
2008
IEEE
16 years 5 months ago
Discriminative learned dictionaries for local image analysis
Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in signal, image, and video restoration. This article ext...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
CVPR
2008
IEEE
16 years 5 months ago
3D model matching with Viewpoint-Invariant Patches (VIP)
The robust alignment of images and scenes seen from widely different viewpoints is an important challenge for camera and scene reconstruction. This paper introduces a novel class ...
Changchang Wu, Brian Clipp, Xiaowei Li, Jan-Michae...
ICCV
2007
IEEE
15 years 9 months ago
Cortical Folding Development Study based on Over-Complete Spherical Wavelets
We introduce the use of over-complete spherical wavelets for shape analysis of 2D closed surfaces. Bi-orthogonal spherical wavelets have been shown to be powerful tools in the seg...
Peng Yu, B. T. Thomas Yeo, P. Ellen Grant, Bruce F...
ICCV
2007
IEEE
16 years 5 months ago
Evaluation of Large Scale Scene Reconstruction
We present an evaluation methodology and data for large scale video-based 3D reconstruction. We evaluate the effects of several parameters and draw conclusions that can be useful ...
Paul Merrell, Philippos Mordohai, Jan-Michael Frah...