Modeling from Reality

1. Front Matter

   Pages i-xxix

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2. Geometric Modeling

   1. Front Matter

      Pages 1-1

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   2. Principal Component Analysis with Missing Data and Its Application to Polyhedral Object Modeling

      • Harry Shum, Katsushi Ikeuchi, Raj Reddy

      Pages 3-39

   3. Building 3-D Models from Unregistered Range Images

      • Kazunori Higuchi, Martial Hebert, Katsushi Ikeuchi

      Pages 41-75

   4. Consensus Surfaces for Modeling 3D Objects from Multiple Range Images

      • Mark D. Wheeler, Yoichi Sato, Katsushi Ikeuchi

      Pages 77-92

3. Photometric Modeling

   1. Front Matter

      Pages 93-93

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   2. Object Shape and Reflectance Modeling from Observation

      • Yoichi Sato, Mark D. Wheeler, Katsushi Ikeuchi

      Pages 95-116

   3. Eigen-Texture Method: Appearance Compression Based on 3D Model

      • Ko Nishino, Yoichi Sato, Katsushi Ikeuchi

      Pages 117-133

4. Environmental Modeling

   1. Front Matter

      Pages 135-135

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   2. Acquiring a Radiance Distribution to Superimpose Virtual Objects onto a Real Scene

      • Imari Sato, Yoichi Sato, Katsushi Ikeuchi

      Pages 137-160

   3. Illumination Distribution from Shadows

      • Imari Sato, Yoichi Sato, Katsushi Ikeuchi

      Pages 161-177

5. Epilogue: MFR to Digitized Great Buddha

   1. Front Matter

      Pages 179-179

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   2. The great Buddha Project: Modeling Cultural Heritage Through Observation

      • Daisuke Miyazaki, Takeshi Oishi, Taku Nishikawa, Ryusuke Sagawa, Ko Nishino, Takashi Tomomatsu et al.

      Pages 181-193

6. Back Matter

   Pages 195-199

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This book summarizes the results of our modeling-from-reality (MFR) project which took place over the last decade or so. The goal of this project is to develop techniques for modeling real objects and/or environments into geometric and photometric models through computer vision techniques. By developing such techniques, time consuming modeling process, currently un­ dertaken by human programmers, can be (semi-)automatically performed, and, as a result, we can drastically shorten the developing time of such virtual reality systems, reduce their developing cost, and widen their application areas. Originally, we began to develop geometric modeling techniques that acquire shape information of objects/environments for object recognition. Soon, this effort evolved into an independent modeling project, virtual-reality modeling, with the inclusion of photometric modeling aspects that acquire appearance information, such as color, texture, and smoothness. Over the course of this development, it became apparent that environmental modeling techniques were necessary when applying our techniques to mixed realities that seamlessly combine generated virtual models with other real/virtual images. The material in his book covers these aspects of development.

• 3D
• Textur
• computer vision
• geometric modeling
• modeling
• system
• virtual reality

• The University of Tokyo, Japan

  Katsushi Ikeuchi, Yoichi Sato

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