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Více informací o knize Riemannian Computing in Computer Vision

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Anotace knihy

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).

Parametry knihy

Zařazení knihy Knihy v angličtině Technology, engineering, agriculture Other technologies & applied sciences Applied optics

• Plný název: Riemannian Computing in Computer Vision
• Autor: Anuj Srivastava, Pavan K. Turaga
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 391
• EAN: 9783319360959
• ISBN: 3319360957
• ID: 18051196
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 6029 g
• Rozměry: 235 × 155 × 22 mm
• Datum vydání: 23. August 2016

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