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Detalles bibliogr�ficos

T�tulo: Riemannian Computing in Computer Vision
Editor: Springer
Fecha de publicaci�n: 2015
Idioma: Ingl�s
ISBN 10: 3319229567
ISBN 13: 9783319229560
Encuadernaci�n: hardcover
Estado: Good

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Sinopsis

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).