Computer Vision - ACCV 2010 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part I /
Computer Vision - ACCV 2010 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part I / [electronic resource] :
edited by Ron Kimmel, Reinhard Klette, Akihiro Sugimoto.
- 1st ed. 2011.
- XXI, 510 p. 237 illus., 211 illus. in color. online resource.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 6492 3004-9954 ; .
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 6492 .
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.
9783642193156
10.1007/978-3-642-19315-6 doi
Computer vision.
Pattern recognition systems.
Artificial intelligence.
Computer graphics.
Algorithms.
Information visualization.
Computer Vision.
Automated Pattern Recognition.
Artificial Intelligence.
Computer Graphics.
Algorithms.
Data and Information Visualization.
TA1634
006.37
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.
9783642193156
10.1007/978-3-642-19315-6 doi
Computer vision.
Pattern recognition systems.
Artificial intelligence.
Computer graphics.
Algorithms.
Information visualization.
Computer Vision.
Automated Pattern Recognition.
Artificial Intelligence.
Computer Graphics.
Algorithms.
Data and Information Visualization.
TA1634
006.37