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Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Tokyo, Japan, November 18-22, 2007, Proceedings, Part II... Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Tokyo, Japan, November 18-22, 2007, Proceedings, Part II (Paperback, 2007 ed.)
Yasushi Yagi, Sing Bing Kang, In So Kweon, Hongbin Zha
R2,979 Discovery Miles 29 790 Ships in 10 - 15 working days

The two volume set LNCS 4843 and LNCS 4844 constitutes the refereed proceedings of the 8th Asian Conference on Computer Vision, ACCV 2007, held in Tokyo, Japan, in November 2007.

The 46 revised full papers, 3 planary and invited talks, and 130 revised poster papers of the two volumes were carefully reviewed and seleceted from 551 submissions. The papers of this volume are organized in topical sections on shape and texture, fitting, calbration, detection, image and video processing, applications, face and gesture, tracking, camera networks, face/gesture/action detection and recognition, learning, motion and tracking, retrival and search, human pose estimation, matching, face/gesture/action detection and recognition, low level vision and phtometory, motion and tracking, human detection, and segmentation.

Computer Vision -- ACCV 2007 - 8th Asian Conference on Computer Vision, Tokyo, Japan, November 18-22, 2007, Proceedings, Part I... Computer Vision -- ACCV 2007 - 8th Asian Conference on Computer Vision, Tokyo, Japan, November 18-22, 2007, Proceedings, Part I (Paperback, 2007 ed.)
Yasushi Yagi, Sing Bing Kang, In So Kweon, Hongbin Zha
R2,995 Discovery Miles 29 950 Ships in 10 - 15 working days

The two volume set LNCS 4843 and LNCS 4844 constitutes the refereed proceedings of the 8th Asian Conference on Computer Vision, ACCV 2007, held in Tokyo, Japan, in November 2007.

The 46 revised full papers, 3 planary and invited talks, and 130 revised poster papers of the two volumes were carefully reviewed and seleceted from 551 submissions. The papers of this volume are organized in topical sections on shape and texture, fitting, calbration, detection, image and video processing, applications, face and gesture, tracking, camera networks, face/gesture/action detection and recognition, learning, motion and tracking, retrival and search, human pose estimation, matching, face/gesture/action detection and recognition, low level vision and phtometory, motion and tracking, human detection, and segmentation.

Object Identification and Categorization with Visual Context (Paperback): Sung Ho Kim, In So Kweon Object Identification and Categorization with Visual Context (Paperback)
Sung Ho Kim, In So Kweon
R1,936 Discovery Miles 19 360 Ships in 10 - 15 working days

The goal of object recognition is to label objects from images and to estimate the poses of the labeled objects. The field of object recognition has seen tremendous progress with successful applications in some specific domains such as face recognition. However, the current state-of-the-art methods show unsatisfactory results for more general object domains in complex natural environments with visual ambiguities. In this dissertation, we aim to enhance the object identification and categorization with the guide of visual context and graphical model. In this work, we propose a general framework for the cooperative object identification and object categorization. Examplars used in identification provide useful information of similarity in categorization. Conversely, novel objects are rejected in identification but the proposed object categorization can label the novel objects and segment them out for database update in identification. This work can be helpful to the engineers in artificial intelligence and machine vision.

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