3D computer vision : efficient methods and applications
著者
書誌事項
3D computer vision : efficient methods and applications
（X.media.publishing）
Springer, c2013
2nd ed
- : hbk
- : softcover
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注記
Includes bibliographical references (p. 363-381)
内容説明・目次
内容説明
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.
目次
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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