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Computer Vision - ACCV 2010 : 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part IV / edited by Ron Kimmel, Reinhard Klette, Akihiro Sugimoto.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 6495
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 6495
- Language:
- English
- Subjects (All):
- Computer vision.
- Pattern recognition systems.
- Artificial intelligence.
- Computer graphics.
- Algorithms.
- Information visualization.
- Computer Vision.
- Automated Pattern Recognition.
- Artificial Intelligence.
- Computer Graphics.
- Data and Information Visualization.
- Local Subjects:
- Computer Vision.
- Automated Pattern Recognition.
- Artificial Intelligence.
- Computer Graphics.
- Algorithms.
- Data and Information Visualization.
- Physical Description:
- 1 online resource (XXXVII, 722 pages) : 373 illustrations, 306 illustrations in color.
- Edition:
- 1st ed. 2011.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
- System Details:
- text file PDF
- Summary:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-19282-1
- 9783642192821
- Access Restriction:
- Restricted for use by site license.
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