Improvements of IP Representation, Fitting and Registration
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概要
- 論文の詳細を見る
- 2009-06-09
著者
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Katsushi Ikeuchi
University of Tokyo
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IKEUCHI Katsushi
The University of Tokyo
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Jun Takamatsu
Nara Institute Of Science And Technology
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Zheng Bo
The University of Tokyo
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Takamatsu Jun
Nara Institute of Science and Technology
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Takamatsu Jun
Nara Institue of Science and Technology
関連論文
- Interactive Information Sharing System using Large 3D Geometric Models
- Task Recognition and Person Identification in Cyclic Dance Sequences with Multi Factor Tensor Analysis
- A Fast Registration Method Using IP and Its Application to Ultrasound Image Registration
- A Fast Registration Method Using IP and Its Application to Ultrasound Image Registration
- Illumination Color and Intrinsic Surface Properties : Physics-based Color Analyses from a Single Image(Excellent Theses for a Doctorate and a Graduation)
- Keypose and Style Analysis Based on Low-dimensional Representation
- Keypose and Style Analysis Based on Low-dimensional Representation
- Fast Shading and Shadowing and Handling Occlusions for Asuka-Kyo MR Contents
- Fast Shading and Shadowing and Handling Occlusions for Asuka-Kyo MR Contents
- Fast Shading and Shadowing and Handling Occlusions for Asuka-Kyo MR Contents
- Reflectance Analysis of Layered Surfaces Using Spectral Information
- Improvements of IP Representation, Fitting and Registration
- Improvements of IP Representation, Fitting and Registration
- Registration and Deformation of 3D Shape Data through Parameterized Formulation(Special Section Theses for a Doctorate and a Graduation)
- Keypose and Style Analysis Based on Low-dimensional Representation
- Intraclass Identifiable Region Detection
- Improvements of IP Representation, Fitting and Registration
- Robust Object Detection by Voting in Multiple Feature Spaces
- 1A1-O03 Utilizing Dynamics and Reward Models in Learning Strategy Fusion(Evolution and Learning for Robotics)
- Registration and Deformation of 3D Shape Data through Parameterized Formulation
- Registration and Deformation of 3D Shape Data through Parameterized Formulation