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Digitally Archiving Cultural Objects

  • Book
  • © 2008

Overview

Authors:
  1. Katsushi Ikeuchi

    1. The University of Tokyo, Meguro-ku, Japan

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    You can also search for this author in PubMed   Google Scholar

  2. Daisuke Miyazaki

    1. The University of Tokyo, Meguro-ku, Japan

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    You can also search for this author in PubMed   Google Scholar

  • Editors are experts in the field of digital preservation
  • Thorough approach to digital preservation
  • Includes supplementary material: sn.pub/extras

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Table of contents (23 chapters)

  1. Front Matter

    Pages i-xxxiv
    Download chapter PDF

  2. Range Sensor

    1. Introduction

      • Katsushi Ikeuchi, Daisuke Miyazaki
      Pages 1-10

    2. Shape Rectification of 3D Data Obtained by a Moving Range Sensor by using Image Sequences

      • Atsuhiko Banno, Katsushi Ikeuchi
      Pages 13-32

    3. The Climbing Sensor: 3D Modeling of Narrow Areas by Using Space- Time Analysis

      • Shintaro Ono, Ken Matsui, Katsushi Ikeuchi
      Pages 33-47

    4. Inverse Polarization Raytracing: Estimating Surface Shapes of Transparent Objects

      • Katsushi Ikeuchi, Daisuke Miyazaki
      Pages 49-67

  3. Range Data Analysis

    1. Robust Simultaneous Registration of Multiple Range Images

      • Ko Nishino, Katsushi Ikeuchi
      Pages 71-88

    2. A Fast Simultaneous Alignment of Multiple Range Images

      • Takeshi Oishi, Atsushi Nakazawa, Ryo Kurazume, Katsushi Ikeuchi
      Pages 89-107

    3. Parallel Alignment of a Large Number of Range Images

      • Takeshi Oishi, Atsushi Nakazawa, Ryo Kurazume, Katsushi Ikeuchi, Ryusuke Sagawa
      Pages 109-126

    4. Simultaneous Determination of Registration and Deformation Parameters among 3D Range Images

      • Tomohito Masuda, Yuichiro Hirota, Ko Nishino, Katsushi Ikeuchi
      Pages 127-146

    5. Parallel Processing of Range Data Merging

      • Ryusuke Sagawa, Ko Nishino, Mark D. Wheeler, Katsushi Ikeuchi
      Pages 147-159

    6. Adaptively Merging Large-Scale Range Data with Reflectance Properties

      • Ryusuke Sagawa, Ko Nishino, Katsushi Ikeuchi
      Pages 161-191

    7. Iterative Refinement of Range Images with Anisotropic Error Distribution

      • Ryusuke Sagawa, Takeshi Oishi, Atsushi Nakazawa, Ryo Kurazume, Katsushi Ikeuchi
      Pages 193-205

    8. Hole Filling of 3D Model by Flipping Signs of Signed Distance Field in Adaptive Resolution

      • Ryusuke Sagawa, Katsushi Ikeuchi
      Pages 207-234

  4. Color Analysis

    1. Simultaneous Registration of 2D Images onto 3D Models for Texture Mapping

      • Ryo Ohkubo, Ryo Kurazume, Katsushi Ikeuchi
      Pages 237-278

    2. Consistent Surface Color for Texturing Large Objects in Outdoor Scenes

      • Rei Kawakami, Robby T. Tan, Katsushi Ikeuchi
      Pages 279-295

    3. Separating Illumination and Surface Spectral from Multiple Color Signals

      • Akifumi Ikari, Rei Kawakami, Robby T. Tan, Katsushi Ikeuchi
      Pages 297-321

    4. Color Constancy through Inverse-Intensity Chromaticity Space

      • Robby T. Tan, Katsushi Ikeuchi, Ko Nishino
      Pages 323-351

    5. Separating Reflection Components of Textured Surfaces using a Single Image

      • Robby T. Tan, Katsushi Ikeuchi
      Pages 353-384

    6. Creating Photorealistic Virtual Model with Polarization-based Vision System

      • Takushi Shibata, Toru Takahashi, Daisuke Miyazaki, Yoichi Sato, Katsushi Ikeuchi
      Pages 385-401

  5. Digitizing Cultural Heritage

    1. Classification of Bayon Faces

      • Mawo Kamakura, Takeshi Oishi, Jun Takamatsu, Katsushi Ikeuchi
      Pages 405-418
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Keywords

About this book

A large number of cultural heritage objects around the world are deteriorating or being destroyed due to the work of natural disasters, such as earthquakes and floods, and human-inflicted destruction, such as war and vandalism. In the wake of these threats, 3D data becomes a critical component to permanently recording the shapes of these important objects so that they might be passed down to future generations.

Digitally Archiving Cultural Objects describes thorough research and methods for preserving cultural heritage objects through the use of 3D digital data. These methods were developed through using computer vision and computer graphics technologies. This data can also be used for simulation and restoration purposes as well as towards various multimedia applications.

This comprehensive book is organized into four parts. Part 1 describes various sensors designed to obtain data. Part 2 contains a collection of papers that describe the geometric pipeline, converting obtained data into a consistent geometric model, through determining relative relations among digital data and connecting those data into a uniform representation. Part 3 concerns photometric issues, including how to map color pictures on a geometric model and how to remove the effect of sunlight in the pictures obtained. Part 4 reports on the effort to establish a digital museum to restore and display the original appearance of heritage objects as well as conduct analyses of obtained data for heritage research.

Authors and Affiliations

  • The University of Tokyo, Meguro-ku, Japan

    Katsushi Ikeuchi, Daisuke Miyazaki

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