9783319161778-3319161776-Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part I (Lecture Notes in Computer Science, 8925)

Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part I (Lecture Notes in Computer Science, 8925)

ISBN-13: 9783319161778
ISBN-10: 3319161776
Edition: 2015
Author: Michael M. Bronstein, Carsten Rother, Lourdes Agapito
Publication date: 2015
Publisher: Springer
Format: Paperback 863 pages
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Book details

ISBN-13: 9783319161778
ISBN-10: 3319161776
Edition: 2015
Author: Michael M. Bronstein, Carsten Rother, Lourdes Agapito
Publication date: 2015
Publisher: Springer
Format: Paperback 863 pages

Summary

Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part I (Lecture Notes in Computer Science, 8925) (ISBN-13: 9783319161778 and ISBN-10: 3319161776), written by authors Michael M. Bronstein, Carsten Rother, Lourdes Agapito, was published by Springer in 2015. With an overall rating of 4.0 stars, it's a notable title among other books. You can easily purchase or rent Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part I (Lecture Notes in Computer Science, 8925) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

The four-volume set LNCS 8925, 8926, 8927, and 8928 comprises the refereed post-proceedings of the Workshops that took place in conjunction with the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 203 workshop papers were carefully reviewed and selected for inclusion in the proceedings. They were presented at workshops with the following themes: where computer vision meets art; computer vision in vehicle technology; spontaneous facial behavior analysis; consumer depth cameras for computer vision; "chalearn" looking at people: pose, recovery, action/interaction, gesture recognition; video event categorization, tagging and retrieval towards big data; computer vision with local binary pattern variants; visual object tracking challenge; computer vision + ontology applies cross-disciplinary technologies; visual perception of affordance and functional visual primitives for scene analysis; graphical models in computer vision; light fields for computer vision; computer vision for road scene understanding and autonomous driving; soft biometrics; transferring and adapting source knowledge in computer vision; surveillance and re-identification; color and photometry in computer vision; assistive computer vision and robotics; computer vision problems in plant phenotyping; and non-rigid shape analysis and deformable image alignment. Additionally, a panel discussion on video segmentation is included. .
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