3D computer vision: efficient methods and applications

Christian Wöhler (auth.)3642017312, 9783642017315

This book provides an introduction to the foundations of three-dimensional computer vision and describes recent contributions to the field. Geometric methods include linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and flexible objects. Photometric techniques evaluate the intensity distribution in the image to infer three-dimensional scene structure, while real-aperture approaches exploit the behavior of the point spread function. It is shown how the integration of several methods increases reconstruction accuracy and robustness. Applications scenarios include industrial quality inspection, metrology, human-robot-interaction, and remote sensing.

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Table of contents :
Front Matter….Pages 1-12
Front Matter….Pages 1-1
Geometric Approaches to Three-dimensional Scene Reconstruction….Pages 3-126
Photometric Approaches to Three-dimensional Scene Reconstruction….Pages 127-157
Real-aperture Approaches to Three-dimensional Scene Reconstruction….Pages 159-179
Integrated Frameworks for Three-dimensional Scene Reconstruction….Pages 181-240
Front Matter….Pages 242-242
Applications to Industrial Quality Inspection….Pages 243-275
Applications to Safe Human–Robot Interaction….Pages 277-301
Applications to Lunar Remote Sensing….Pages 303-350
Conclusion….Pages 351-357
Back Matter….Pages 1-27