CiNii 図書 - 3D computer vision : efficient methods and applications

This indispensable text introduces the foundations of three-dimensional computer vision and describes recent contributions to the field. Fully revised and updated, this much-anticipated new edition reviews a range of triangulation-based methods, including 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. Also covered are intensity-based techniques that evaluate the pixel grey values in the image to infer three-dimensional scene structure, and point spread function based approaches that exploit the effect of the optical system. The text shows how methods which integrate these concepts are able to increase reconstruction accuracy and robustness, describing applications in industrial quality inspection and metrology, human-robot interaction, and remote sensing.

Part I: Methods of 3D Computer Vision Triangulation-based Approaches to Three-dimensional Scene Reconstruction Three-dimensional Pose Estimation and SegmentationMethods Intensity-based and Polarisation-based Approaches Point Spread Function Based Approaches to Three-dimensional Scene Reconstruction Integrated Frameworks for Three-dimensional Scene Reconstruction Part II: Application Scenarios Applications to Industrial Quality Inspection Applications to Safe Human-Robot Interaction Applications to Lunar Remote Sensing Conclusion

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3D computer vision : efficient methods and applications

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