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» Surface Reconstruction using Learned Shape Models
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AAAI
2008
13 years 11 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
14 years 11 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
14 years 11 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
14 years 3 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
14 years 11 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...