Riemannian Computing in Computer Vision is popular PDF and ePub book, written by Pavan K. Turaga in 2015-11-09, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Riemannian Computing in Computer Vision can be Read Online from any device for your convenience.
Riemannian Computing in Computer Vision Book PDF Summary
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).
Detail Book of Riemannian Computing in Computer Vision PDF
- Author : Pavan K. Turaga
- Release : 09 November 2015
- Publisher : Springer
- ISBN : 9783319229577
- Genre : Technology & Engineering
- Total Page : 382 pages
- Language : English
- PDF File Size : 20,8 Mb
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