Verfügbarkeit: Riemannian computing in computer vision

Riemannian computing in computer vision:

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Weitere beteiligte Personen:	Turaga, Pavan K. (HerausgeberIn), Srivastava, Anuj (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing [2016]
Schlagwörter:	Engineering Image processing Applied mathematics Engineering mathematics Signal, Image and Speech Processing Image Processing and Computer Vision Applications of Mathematics Ingenieurwissenschaften
Links:	https://doi.org/10.1007/978-3-319-22957-7 https://doi.org/10.1007/978-3-319-22957-7 https://doi.org/10.1007/978-3-319-22957-7 https://doi.org/10.1007/978-3-319-22957-7 https://doi.org/10.1007/978-3-319-22957-7 https://doi.org/10.1007/978-3-319-22957-7 https://doi.org/10.1007/978-3-319-22957-7 https://doi.org/10.1007/978-3-319-22957-7 https://doi.org/10.1007/978-3-319-22957-7 https://doi.org/10.1007/978-3-319-22957-7 https://doi.org/10.1007/978-3-319-22957-7 https://doi.org/10.1007/978-3-319-22957-7 https://doi.org/10.1007/978-3-319-22957-7 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028634306&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028634306&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	1 Online Ressource (vi, 391 p. 88 illus., 66 illus. in color)
ISBN:	9783319229577
DOI:	10.1007/978-3-319-22957-7

Internformat

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Datensatz im Suchindex

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adam_text	RIEMANNIAN COMPUTING IN COMPUTER VISION / : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS WELCOME TO RIEMANNIAN COMPUTING IN COMPUTER VISION RECURSIVE COMPUTATION OF THE FR´ECHET MEAN ON NON-POSITIVELY CURVED RIEMANNIAN MANIFOLDS WITH APPLICATIONS KERNELS ON RIEMANNIAN MANIFOLDS CANONICAL CORRELATION ANALYSIS ON SPD(N) MANIFOLDS PROBABILISTIC GEODESIC MODELS FOR REGRESSION AND DIMENSIONALITY REDUCTION ON RIEMANNIAN MANIFOLDS ROBUST ESTIMATION FOR COMPUTER VISION USING GRASSMANN MANIFOLDS MOTION AVERAGING IN 3D RECONSTRUCTION PROBLEMS LIE-THEORETIC MULTI-ROBOT LOCALIZATION COVARIANCEWEIGHTED PROCRUSTES ANALYSIS ELASTIC SHAPE ANALYSIS OF FUNCTIONS, CURVES AND TRAJECTORIES WHY USE SOBOLEV METRICS ON THE SPACE OF CURVES ELASTIC SHAPE ANALYSIS OF SURFACES AND IMAGES DESIGNING A BOOSTED CLASSIFIER ON RIEMANNIAN MANIFOLDS A GENERAL LEAST SQUARES REGRESSION FRAMEWORK ON MATRIX MANIFOLDS FOR COMPUTER VISION DOMAIN ADAPTATION USING THE GRASSMANN MANIFOLD COORDINATE CODING ON THE RIEMANNIAN MANIFOLD OF SYMMETRIC POSITIVE DEFINITE MATRICES FOR IMAGE CLASSIFICATION SUMMARIZATION AND SEARCH OVER GEOMETRIC SPACES DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. RIEMANNIAN COMPUTING IN COMPUTER VISION / : 2016 ABSTRACT / INHALTSTEXT 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). ILLUSTRATES RIEMANNIAN COMPUTING THEORY ON APPLICATIONS IN COMPUTER VISION, MACHINE LEARNING, AND ROBOTICS EMPHASIS ON ALGORITHMIC ADVANCES THAT WILL ALLOW RE-APPLICATION IN OTHER CONTEXTS WRITTEN BY LEADING RESEARCHERS IN COMPUTER VISION AND RIEMANNIAN COMPUTING, FROM UNIVERSITIES AND INDUSTRY DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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spellingShingle	Riemannian computing in computer vision Engineering Image processing Applied mathematics Engineering mathematics Signal, Image and Speech Processing Image Processing and Computer Vision Applications of Mathematics Ingenieurwissenschaften
title	Riemannian computing in computer vision
title_auth	Riemannian computing in computer vision
title_exact_search	Riemannian computing in computer vision
title_full	Riemannian computing in computer vision Pavan K. Turaga, Anuj Srivastava editors
title_fullStr	Riemannian computing in computer vision Pavan K. Turaga, Anuj Srivastava editors
title_full_unstemmed	Riemannian computing in computer vision Pavan K. Turaga, Anuj Srivastava editors
title_short	Riemannian computing in computer vision
title_sort	riemannian computing in computer vision
topic	Engineering Image processing Applied mathematics Engineering mathematics Signal, Image and Speech Processing Image Processing and Computer Vision Applications of Mathematics Ingenieurwissenschaften
topic_facet	Engineering Image processing Applied mathematics Engineering mathematics Signal, Image and Speech Processing Image Processing and Computer Vision Applications of Mathematics Ingenieurwissenschaften
url	https://doi.org/10.1007/978-3-319-22957-7 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028634306&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028634306&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
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