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. Front Matter....Pages i-xxxiv Introduction....Pages 1-10 Shape Rectification of 3D Data Obtained by a Moving Range Sensor by using Image Sequences....Pages 13-32 The Climbing Sensor: 3D Modeling of Narrow Areas by Using Space- Time Analysis....Pages 33-47 Inverse Polarization Raytracing: Estimating Surface Shapes of Transparent Objects....Pages 49-67 Robust Simultaneous Registration of Multiple Range Images....Pages 71-88 A Fast Simultaneous Alignment of Multiple Range Images....Pages 89-107 Parallel Alignment of a Large Number of Range Images....Pages 109-126 Simultaneous Determination of Registration and Deformation Parameters among 3D Range Images....Pages 127-146 Parallel Processing of Range Data Merging....Pages 147-159 Adaptively Merging Large-Scale Range Data with Reflectance Properties....Pages 161-191 Iterative Refinement of Range Images with Anisotropic Error Distribution....Pages 193-205 Hole Filling of 3D Model by Flipping Signs of Signed Distance Field in Adaptive Resolution....Pages 207-234 Simultaneous Registration of 2D Images onto 3D Models for Texture Mapping....Pages 237-278 Consistent Surface Color for Texturing Large Objects in Outdoor Scenes....Pages 279-295 Separating Illumination and Surface Spectral from Multiple Color Signals....Pages 297-321 Color Constancy through Inverse-Intensity Chromaticity Space....Pages 323-351 Separating Reflection Components of Textured Surfaces using a Single Image....Pages 353-384 Creating Photorealistic Virtual Model with Polarization-based Vision System....Pages 385-401 Classification of Bayon Faces....Pages 405-418 Illumination Simulation for Archaeological Investigation....Pages 419-439 Editing, Retrieval, and Display System of Archeological Information on Large 3D Geometric Models....Pages 441-455 Virtual Asukakyo: Real-time Soft Shadows in Mixed Reality using Shadowing Planes....Pages 457-471 Digital Restoration of the Nara Great Buddha....Pages 473-483 Back Matter....Pages 485-503 As our heritage deteriorates through erosion, human error or natural disasters, it has become more important than ever to preserve our past even if it is in digital form only. This highly relevant work describes thorough research and methods for preserving cultural heritage objects through the use of 3D digital data. These methods were developed via computer vision and computer graphics technologies. They offer a way of passing our heritage down to future generations.
