Holdings: Dense image correspondences for computer vision

Dense image correspondences for computer vision:

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Bibliographic Details
Other Authors:	Hassner, Tal (Editor), Liu, Ce (Editor)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer International Publishing [2016]
Subjects:	Engineering Artificial intelligence Image processing Electrical engineering Signal, Image and Speech Processing Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Communications Engineering, Networks Ingenieurwissenschaften Künstliche Intelligenz
Online Access:	BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract
Physical Description:	1 Online Ressource (xii, 295 p. 152 illus., 146 illus. in color)
ISBN:	9783319230481
DOI:	10.1007/978-3-319-23048-1

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adam_text	DENSE IMAGE CORRESPONDENCES FOR COMPUTER VISION / : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS INTRODUCTION TO DENSE OPTICAL FLOW SIFT FLOW: DENSE CORRESPONDENCE ACROSS SCENES AND ITS APPLICATIONS DENSE, SCALE-LESS DESCRIPTORS SCALE-SPACE SIFT FLOW DENSE SEGMENTATION-AWARE DESCRIPTORS SIFTPACK: A COMPACT REPRESENTATION FOR EFFICIENT SIFT MATCHING IN DEFENSE OF GRADIENT-BASED ALIGNMENT ON DENSELY SAMPLED SPARSE FEATURES FROM IMAGES TO DEPTHS AND BACK DEPTHTRANSFER: DEPTH EXTRACTION FROM VIDEO USING NON-PARAMETRIC SAMPLING JOINT INFERENCE IN IMAGE DATASETS VIA DENSE CORRESPONDENCE DENSE CORRESPONDENCES AND ANCIENT TEXTS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. DENSE IMAGE CORRESPONDENCES FOR COMPUTER VISION / : 2016 ABSTRACT / INHALTSTEXT THIS BOOK DESCRIBES THE FUNDAMENTAL BUILDING-BLOCK OF MANY NEW COMPUTER VISION SYSTEMS: DENSE AND ROBUST CORRESPONDENCE ESTIMATION. DENSE CORRESPONDENCE ESTIMATION TECHNIQUES ARE NOW SUCCESSFULLY BEING USED TO SOLVE A WIDE RANGE OF COMPUTER VISION PROBLEMS, VERY DIFFERENT FROM THE TRADITIONAL APPLICATIONS SUCH TECHNIQUES WERE ORIGINALLY DEVELOPED TO SOLVE. THIS BOOK INTRODUCES THE TECHNIQUES USED FOR ESTABLISHING CORRESPONDENCES BETWEEN CHALLENGING IMAGE PAIRS, THE NOVEL FEATURES USED TO MAKE THESE TECHNIQUES ROBUST, AND THE MANY PROBLEMS DENSE CORRESPONDENCES ARE NOW BEING USED TO SOLVE. THE BOOK PROVIDES INFORMATION TO ANYONE ATTEMPTING TO UTILIZE DENSE CORRESPONDENCES IN ORDER TO SOLVE NEW OR EXISTING COMPUTER VISION PROBLEMS. THE EDITORS DESCRIBE HOW TO SOLVE MANY COMPUTER VISION PROBLEMS BY USING DENSE CORRESPONDENCE ESTIMATION. FINALLY, IT SURVEYS RESOURCES, CODE, AND DATA NECESSARY FOR EXPEDITING THE DEVELOPMENT OF EFFECTIVE CORRESPONDENCE-BASED COMPUTER VISION SYSTEMS. PROVIDES IN-DEPTH COVERAGE OF DENSE-CORRESPONDENCE ESTIMATION COVERS BOTH THE BREADTH AND DEPTH OF NEW ACHIEVEMENTS IN DENSE CORRESPONDENCE ESTIMATION AND THEIR APPLICATIONS INCLUDES INFORMATION FOR DESIGNING COMPUTER VISION SYSTEMS THAT RELY ON EFFICIENT AND ROBUST CORRESPONDENCE ESTIMATION DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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publisher	Springer International Publishing
record_format	marc
spellingShingle	Dense image correspondences for computer vision Engineering Artificial intelligence Image processing Electrical engineering Signal, Image and Speech Processing Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Communications Engineering, Networks Ingenieurwissenschaften Künstliche Intelligenz
title	Dense image correspondences for computer vision
title_auth	Dense image correspondences for computer vision
title_exact_search	Dense image correspondences for computer vision
title_full	Dense image correspondences for computer vision Tal Hassner, Ce Liu editor
title_fullStr	Dense image correspondences for computer vision Tal Hassner, Ce Liu editor
title_full_unstemmed	Dense image correspondences for computer vision Tal Hassner, Ce Liu editor
title_short	Dense image correspondences for computer vision
title_sort	dense image correspondences for computer vision
topic	Engineering Artificial intelligence Image processing Electrical engineering Signal, Image and Speech Processing Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Communications Engineering, Networks Ingenieurwissenschaften Künstliche Intelligenz
topic_facet	Engineering Artificial intelligence Image processing Electrical engineering Signal, Image and Speech Processing Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Communications Engineering, Networks Ingenieurwissenschaften Künstliche Intelligenz
url	https://doi.org/10.1007/978-3-319-23048-1 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028634304&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=028634304&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT hassnertal denseimagecorrespondencesforcomputervision AT liuce denseimagecorrespondencesforcomputervision

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