Riemannian Computing in Computer Vision

Turaga, Pavan K. (Editor)/ Srivastava, Anuj (Editor)

ISBN 10: 3319229567 / ISBN 13: 9783319229560

Editore: Springer Verlag, 2015

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400 pages. 9.50x6.50x1.25 inches. In Stock. Codice articolo x-3319229567

Dati bibliografici

Titolo: Riemannian Computing in Computer Vision

Casa editrice: Springer Verlag

Data di pubblicazione: 2015

Legatura: Hardcover

Condizione: Brand New

Descrizione articolo

Riassunto:

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).

L'autore:

Pavan Turaga is an Assistant Professor at Arizona State University Anuj Srivastava is a Professor at Florida State University