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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 I / edited by Ron Kimmel, Reinhard Klette, Akihiro Sugimoto.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 6492.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 6492
- Language:
- English
- Subjects (All):
- Optical data processing.
- Pattern perception.
- Artificial intelligence.
- Computer graphics.
- Algorithms.
- Mathematics.
- Visualization.
- Image Processing and Computer Vision.
- Pattern Recognition.
- Artificial Intelligence.
- Computer Graphics.
- Algorithm Analysis and Problem Complexity.
- Local Subjects:
- Image Processing and Computer Vision.
- Pattern Recognition.
- Artificial Intelligence.
- Computer Graphics.
- Algorithm Analysis and Problem Complexity.
- Visualization.
- Physical Description:
- 1 online resource (XXI, 510 pages) : 237 illustrations, 211 illustrations in color.
- Edition:
- First edition 2011.
- Contained In:
- Springer eBooks
- 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:
- 978-3-642-19315-6
- 9783642193156
- Access Restriction:
- Restricted for use by site license.
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