3D Computer Vision
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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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Content
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.
