Machine learning for computer vision:
<p>Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer V...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2013
|
| Schriftenreihe: | Studies in computational intelligence
411 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FWS01 UBY01 Volltext Inhaltsverzeichnis Abstract |
| Zusammenfassung: | <p>Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover both theoretical and practical aspects of real Computer Vision problems. The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year. A summary of the past Computer Vision Summer Schools can be found at: http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and tutorials held during the last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature.</p> |
| Beschreibung: | Throwing Down the Visual Intelligence Gauntlet -- Actionable Information in Vision -- Learning Binary Hash Codes for Large-Scale Image Search -- Bayesian Painting by Numbers: Flexible Priors for Colour-Invariant Object Recognition -- Real-Time Human Pose Recognition in Parts from Single Depth Images -- Scale-Invariant Vote-based 3D Recognition and Registration from Point Clouds -- Multiple Classifier Boosting and Tree-Structured Classifiers -- Simultaneous detection and tracking with multiple cameras -- Applications of Computer Vision to Vehicles: an extreme test |
| Beschreibung: | 1 Online-Ressource (XXII, 250 p. 141 illus) |
| ISBN: | 9783642286612 |
| DOI: | 10.1007/978-3-642-28661-2 |
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| 520 | |a <p>Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover both theoretical and practical aspects of real Computer Vision problems. The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year. A summary of the past Computer Vision Summer Schools can be found at: http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and tutorials held during the last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature.</p> | ||
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Datensatz im Suchindex
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| adam_text | MACHINE LEARNING FOR COMPUTER VISION
/
: 2013
TABLE OF CONTENTS / INHALTSVERZEICHNIS
THROWING DOWN THE VISUAL INTELLIGENCE GAUNTLET
ACTIONABLE INFORMATION IN VISION
LEARNING BINARY HASH CODES FOR LARGE-SCALE IMAGE SEARCH
BAYESIAN PAINTING BY NUMBERS: FLEXIBLE PRIORS FOR COLOUR-INVARIANT
OBJECT RECOGNITION
REAL-TIME HUMAN POSE RECOGNITION IN PARTS FROM SINGLE DEPTH IMAGES
SCALE-INVARIANT VOTE-BASED 3D RECOGNITION AND REGISTRATION FROM POINT
CLOUDS
MULTIPLE CLASSIFIER BOOSTING AND TREE-STRUCTURED CLASSIFIERS
SIMULTANEOUS DETECTION AND TRACKING WITH MULTIPLE CAMERAS
APPLICATIONS OF COMPUTER VISION TO VEHICLES: AN EXTREME TEST
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
MACHINE LEARNING FOR COMPUTER VISION
/
: 2013
ABSTRACT / INHALTSTEXT
COMPUTER VISION IS THE SCIENCE AND TECHNOLOGY OF MAKING MACHINES THAT
SEE. IT IS CONCERNED WITH THE THEORY, DESIGN AND IMPLEMENTATION OF
ALGORITHMS THAT CAN AUTOMATICALLY PROCESS VISUAL DATA TO RECOGNIZE
OBJECTS, TRACK AND RECOVER THEIR SHAPE AND SPATIAL LAYOUT. THE
INTERNATIONAL COMPUTER VISION SUMMER SCHOOL - ICVSS WAS ESTABLISHED IN
2007 TO PROVIDE BOTH AN OBJECTIVE AND CLEAR OVERVIEW AND AN IN-DEPTH
ANALYSIS OF THE STATE-OF-THE-ART RESEARCH IN COMPUTER VISION. THE
COURSES ARE DELIVERED BY WORLD RENOWNED EXPERTS IN THE FIELD, FROM BOTH
ACADEMIA AND INDUSTRY, AND COVER BOTH THEORETICAL AND PRACTICAL ASPECTS
OF REAL COMPUTER VISION PROBLEMS. THE SCHOOL IS ORGANIZED EVERY YEAR BY
UNIVERSITY OF CAMBRIDGE (COMPUTER VISION AND ROBOTICS GROUP) AND
UNIVERSITY OF CATANIA (IMAGE PROCESSING LAB). DIFFERENT TOPICS ARE
COVERED EACH YEAR. A SUMMARY OF THE PAST COMPUTER VISION SUMMER SCHOOLS
CAN BE FOUND AT: HTTP://WWW.DMI.UNICT.IT/ICVSS THIS EDITED VOLUME
CONTAINS A SELECTION OF ARTICLES COVERING SOME OF THE TALKS AND
TUTORIALS HELD DURING THE LAST EDITIONS OF THE SCHOOL. THE CHAPTERS
PROVIDE AN IN-DEPTH OVERVIEW OF CHALLENGING AREAS WITH KEY REFERENCES TO
THE EXISTING LITERATURE
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| dewey-ones | 006 - Special computer methods |
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| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-642-28661-2 |
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| id | DE-604.BV040799493 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T16:14:51Z |
| institution | BVB |
| isbn | 9783642286612 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025779621 |
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| physical | 1 Online-Ressource (XXII, 250 p. 141 illus) |
| psigel | ZDB-2-ENG |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spellingShingle | Machine learning for computer vision Studies in computational intelligence Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Computer vision Maschinelles Sehen (DE-588)4129594-8 gnd |
| subject_GND | (DE-588)4129594-8 (DE-588)4143413-4 |
| title | Machine learning for computer vision |
| title_auth | Machine learning for computer vision |
| title_exact_search | Machine learning for computer vision |
| title_full | Machine learning for computer vision Roberto Cipolla ..., eds. |
| title_fullStr | Machine learning for computer vision Roberto Cipolla ..., eds. |
| title_full_unstemmed | Machine learning for computer vision Roberto Cipolla ..., eds. |
| title_short | Machine learning for computer vision |
| title_sort | machine learning for computer vision |
| topic | Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Computer vision Maschinelles Sehen (DE-588)4129594-8 gnd |
| topic_facet | Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Computer vision Maschinelles Sehen Aufsatzsammlung |
| url | https://doi.org/10.1007/978-3-642-28661-2 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025779621&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=025779621&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT cipollaroberto machinelearningforcomputervision |