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portada Riemannian Computing in Computer Vision
Type
Physical Book
Publisher
Author
Language
English
Pages
391
Format
Hardcover
Dimensions
23.4x15.6x2.2 cm
Weight
0.73 kg.
ISBN13
9783319229560
Categories

Riemannian Computing in Computer Vision

Turaga, Pavan K. ; Srivastava, Anuj (Author) · Springer · Hardcover

Riemannian Computing in Computer Vision - Turaga, Pavan K. ; Srivastava, Anuj

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Synopsis "Riemannian Computing in Computer Vision"

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).

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