Research Catalog
Emerging topics in computer vision
- Title
- Emerging topics in computer vision / [edited by] Gerard Medioni, Sing Bing Kang.
- Publication
- Upper Saddle River, NJ : Prentice Hall/PTR, [2005], ©2005.
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Status | Format | Access | Call Number | Item Location |
---|---|---|---|---|
Text | Request in advance | TA1634 .E52 2005 | Off-site |
Holdings
Details
- Additional Authors
- Description
- xix, 661 pages : illustrations; 25 cm +
- Summary
- "Gerard Medioni and Sing Bing Kang present advances in computer vision such as camera calibration, multi-view geometry, and face detection, and introduce important new topics such as vision for special effects and the tensor voting framework. They begin with the fundamentals, cover select applications in detail, and introduce two popular approaches to computer vision programming."--BOOK JACKET.
- Series Statement
- IMSC Press multimedia series
- Uniform Title
- Prentice Hall IMSC Press multimedia series.
- Subject
- Bibliography (note)
- Includes bibliographical references and index.
- Contents
- 1. Introduction -- Pt. I. Fundamentals in computer vision -- 2. Camera calibration / Zhengyou Zhang -- 3. Multiple view geometry / Anders Heyden and Marc Pollefeys -- 4. Robust techniques for computer vision / Peter Meer -- 5. The tensor voting framework / Gerard Medioni and Philippos Mordohai -- Pt. II. Applications in computer vision -- 6. Image-based lighting / Paul E. Debevec -- 7. Computer vision in visual effects / Doug Roble -- 8. Content-based image retrieval : an overview / Theo Gevers and Arnold W. M. Smeulders -- 9. Face detection, alignment, and recognition / Stan Z. Li and Juwei Lu -- 10. Perceptual interfaces / Matthew Turk and Mathias Kolsch -- Pt. III. Programming for computer vision -- 11. Open source computer vision library / Gary Bradski -- 12. Software architecture for computer vision / Alexandre R. J. Francois.
- ISBN
- 0131013661 (alk. paper)
- LCCN
- 2004044631
- OCLC
- ocm54752819
- ocm56446822
- SCSB-5157047
- Owning Institutions
- Columbia University Libraries