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In its revised and updated new edition, this book introduces the foundations of three-dimensional computer vision and surveys recent innovations. Describes applications in industrial quality inspection and metrology, human-robot interaction and remote sensing.

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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.

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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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"I do recommend serious consideration of this book for a one-semester advanced graduate course on methods for 3D scene reconstruction, based on the first five chapters. For graduate students pursuing PhDs in the field of computer vision, this is a book they won t want to miss." (Zhaoqiang Lai, ACM Computing Reviews, Mar 8 2013, Review CR141001)

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Christian Wöhler is Professor of Image Analysis at the Department of Electrical Engineering and Information Technology of TU Dortmund, Germany. His scientific interests are in the domains of computer vision, photogrammetry, remote sensing, and pattern classification, with applications in various fields including machine vision, robotics, advanced driver assistance systems, and planetary science.

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