Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8695)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): ECCV: European Conference on Computer Vision
Conference proceedings info: ECCV 2014.
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Table of contents (40 papers)
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Front Matter
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Poster Session 7 (continued)
Other Volumes
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Computer Vision – ECCV 2014
About this book
Keywords
- 3D
- activity recognition and understanding
- artificial intelligence
- computational photography
- computer graphics
- computer vision
- computer vision problems
- face recognition
- image and video acquisition
- image manipulation
- image processing
- image segmentation
- interest point and salient region detections
- machine learning
- matching
- motion capture
- object detection
- pattern recognition
- reconstruction
Editors and Affiliations
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Department of Computer Science, University of Toronto, Toronto, Canada
David Fleet
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Faculty of Electrical Engineering, Department of Cybernetics, Czech Technical University in Prague, Prague 6, Czech Republic
Tomas Pajdla
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Max-Planck-Institut für Informatik, Saarbrücken, Germany
Bernt Schiele
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PSI, iMinds, KU Leuven, ESAT, Leuven, Belgium
Tinne Tuytelaars
Bibliographic Information
Book Title: Computer Vision -- ECCV 2014
Book Subtitle: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VII
Editors: David Fleet, Tomas Pajdla, Bernt Schiele, Tinne Tuytelaars
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-10584-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-10583-3Published: 22 September 2014
eBook ISBN: 978-3-319-10584-0Published: 14 August 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXVI, 632
Number of Illustrations: 261 b/w illustrations
Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Computer Graphics