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Book synopsis

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).

Book details

Book category Books in English Technology, engineering, agriculture Other technologies & applied sciences Applied optics

• Full title: Riemannian Computing in Computer Vision
• Author: Anuj Srivastava, Pavan K. Turaga
• Language: English
• Binding: Paperback
• Number of pages: 391
• EAN: 9783319360959
• ISBN: 3319360957
• ID: 18051196
• Publisher: Springer International Publishing AG
• Weight: 6029 g
• Dimensions: 235 × 155 × 22 mm
• Date of publishing: 23. August 2016

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