1 option
Image Analysis and Recognition : 9th International Conference, ICIAR 2012, Aveiro, Portugal, June 25-27, 2012. Proceedings, Part II / edited by Aurelio Campilho, Mohamed Kamel.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 7325
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 7325
- Language:
- English
- Subjects (All):
- Computer vision.
- Artificial intelligence.
- Pattern recognition systems.
- Computer graphics.
- Algorithms.
- Application software.
- Computer Vision.
- Artificial Intelligence.
- Automated Pattern Recognition.
- Computer Graphics.
- Computer and Information Systems Applications.
- Local Subjects:
- Computer Vision.
- Artificial Intelligence.
- Automated Pattern Recognition.
- Computer Graphics.
- Algorithms.
- Computer and Information Systems Applications.
- Physical Description:
- 1 online resource (XXIII, 494 pages) : 212 illustrations
- Edition:
- 1st ed. 2012.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
- System Details:
- text file PDF
- Summary:
- The two-volume set LNCS 7324/7325 constitutes the refereed proceedings of the 9th International Conference on Image and Recognition, ICIAR 2012, held in Aveiro, Portugal, in June 2012. The 107 revised full papers presented were carefully reviewed and selected from 207 submissions. The papers are organized in topical sections on clustering and classification; image processing; image analysis; motion analysis and tracking; shape representation; 3D imaging; applications; biometrics and face recognition; human activity recognition; biomedical image analysis; retinal image analysis; and call detection and modeling.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-31298-4
- 9783642312984
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.