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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	August 2016
Genre:	Naturwissensch., Medizin, Technik
	Angewandte Mathematik / Applications of Mathematics / Applied mathematics / B / Computer Vision / engineering / Engineering mathematics / Image processing / Image Processing and Computer Vision / Optical data processing / Signal Processing / Signal, Image and Speech Processing / Signal, Speech and Image Processing / Speech processing systems mehr...
ISBN:	9783319360959
EAN-Code:	9783319360959
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	6029 gr
Seiten:	397
Illustration:	VI, 391 p. 88 illus., 66 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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).