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Riemannian Computing in Computer Vision (Hardcover)

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This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices (e.g. in diffusion tensor imaging), and function-spaces (e.g. in studying shapes of closed contours).
Genre: Technology, Computers + Internet, Mathematics
Sub-Genre: Computer Graphics / General, Applied, Electronics / General
Format: Hardcover
Publisher: Springer Verlag
Language: English
Street Date: November 18, 2015
TCIN: 50596413
UPC: 9783319229560
Item Number (DPCI): 248-09-7983

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