Computer Vision – ACCV 2010 [electronic resource] : 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part III / edited by Ron Kimmel, Reinhard Klette, Akihiro Sugimoto.
By: Kimmel, Ron [editor.].
Contributor(s): Klette, Reinhard [editor.] | Sugimoto, Akihiro [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 6494Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XXI, 790p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642193187.Subject(s): Computer science | Computer software | Artificial intelligence | Computer graphics | Computer vision | Optical pattern recognition | Visualization | Computer Science | Image Processing and Computer Vision | Pattern Recognition | Artificial Intelligence (incl. Robotics) | Computer Graphics | Algorithm Analysis and Problem Complexity | VisualizationDDC classification: 006.6 | 006.37 Online resources: Click here to access online
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Springer eBooksSummary: The four-volume set LNCS 6492-6495 constitutes the thoroughly refereed post-proceedings of the 10th Asian Conference on Computer Vision, ACCV 2009, held in Queenstown, New Zealand in November 2010. All together the four volumes present 206 revised papers selected from a total of 739 Submissions. All current issues in computer vision are addressed ranging from algorithms that attempt to automatically understand the content of images, optical methods coupled with computational techniques that enhance and improve images, and capturing and analyzing the world's geometry while preparing the higher level image and shape understanding. Novel gemometry techniques, statistical learning methods, and modern algebraic procedures are dealt with as well.
The four-volume set LNCS 6492-6495 constitutes the thoroughly refereed post-proceedings of the 10th Asian Conference on Computer Vision, ACCV 2009, held in Queenstown, New Zealand in November 2010. All together the four volumes present 206 revised papers selected from a total of 739 Submissions. All current issues in computer vision are addressed ranging from algorithms that attempt to automatically understand the content of images, optical methods coupled with computational techniques that enhance and improve images, and capturing and analyzing the world's geometry while preparing the higher level image and shape understanding. Novel gemometry techniques, statistical learning methods, and modern algebraic procedures are dealt with as well.
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