
Computer Vision - ECCV 2016
14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part IV
Herausgegeben: Leibe, Bastian; Matas, Jiri; Sebe, Nicu; Welling, Max
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The eight-volume set comprising LNCS volumes 9905-9912 constitutes therefereed proceedings of the 14th European Conference on ComputerVision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016.The 415 revised papers presented were carefully reviewed and selectedfrom 1480 submissions. The papers cover all aspects of computer visionand pattern recognition such as 3D computer vision; computationalphotography, sensing and display; face and gesture; low-level vision andimage processing; motion and tracking; optimization methods; physicsbasedvision, photometry and shape-from-X; recogniti...
The eight-volume set comprising LNCS volumes 9905-9912 constitutes the
refereed proceedings of the 14th European Conference on Computer
Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016.
The 415 revised papers presented were carefully reviewed and selected
from 1480 submissions. The papers cover all aspects of computer vision
and pattern recognition such as 3D computer vision; computational
photography, sensing and display; face and gesture; low-level vision and
image processing; motion and tracking; optimization methods; physicsbased
vision, photometry and shape-from-X; recognition: detection,
categorization, indexing, matching; segmentation, grouping and shape
representation; statistical methods and learning; video: events, activities
and surveillance; applications. They are organized in topical sections on
detection, recognition and retrieval; scene understanding; optimization;
image and video processing; learning; action activity and tracking; 3D; and
9 poster sessions.
refereed proceedings of the 14th European Conference on Computer
Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016.
The 415 revised papers presented were carefully reviewed and selected
from 1480 submissions. The papers cover all aspects of computer vision
and pattern recognition such as 3D computer vision; computational
photography, sensing and display; face and gesture; low-level vision and
image processing; motion and tracking; optimization methods; physicsbased
vision, photometry and shape-from-X; recognition: detection,
categorization, indexing, matching; segmentation, grouping and shape
representation; statistical methods and learning; video: events, activities
and surveillance; applications. They are organized in topical sections on
detection, recognition and retrieval; scene understanding; optimization;
image and video processing; learning; action activity and tracking; 3D; and
9 poster sessions.