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Emerging Topics in Computer Vision.
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
E Rutherford : Old Tappan :
Prentice Hall PTR Pearson Education [distributor]
July 2004
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| Colección: | IMSC Press Multimedia Ser.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 001 | OR_on1065003123 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 031226e20040721njua o 000 0 eng d | ||
| 040 | |a WYU |b eng |c WYU |d OCLCQ |d CEF |d OCLCO |d OCLCF |d OCLCO |d OCLCQ | ||
| 020 | |a 0131013661 | ||
| 020 | |a 9780131013667 | ||
| 020 | |z 9780131013667 | ||
| 020 | |z 0131013661 |q (Trade Paper) | ||
| 024 | 1 | |a 076092028178 | |
| 024 | 3 | |a 9780131013667 | |
| 029 | 1 | |a AU@ |b 000067103199 | |
| 035 | |a (OCoLC)1065003123 | ||
| 037 | |b 00021483 | ||
| 050 | 4 | |a TA1634.E52 2004 | |
| 082 | 0 | 4 | |a 006.3/7 |2 22 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Medioni, Gerard, |e author. | |
| 240 | 1 | 0 | |a Emerging Topics in Computer Vision (Online) |
| 245 | 1 | 0 | |a Emerging Topics in Computer Vision. |
| 260 | |a E Rutherford : |b Prentice Hall PTR |c July 2004 |a Old Tappan : |b Pearson Education [distributor] | ||
| 300 | |a 1 online resource (688 pages) |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a IMSC Press Multimedia Ser. | |
| 520 | 8 | |a Annotation |b The state-of-the art in computer vision: theory, applications, and programming Whether you're a working engineer, developer, researcher, or student, this is your single authoritative source for today's key computer vision innovations. 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. <ul><li>Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration</li><li>Extracting camera motion and scene structure from image sequences</li><li>Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms</li><li>Image-based lighting for illuminating scenes and objects with real-world light images</li><li>Content-based image retrieval, covering queries, representation, indexing, search, learning, and more</li><li>Face detection, alignment, and recognition--with new solutions for key challenges</li><li>Perceptual interfaces for integrating vision, speech, and haptic modalities</li><li>Development with the Open Source Computer Vision Library (OpenCV)</li><li>The new SAI framework and patterns for architecting computer vision applications</li></ul> | |
| 521 | |a Scholarly & Professional |b Prentice Hall PTR. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Computer vision. | |
| 650 | 6 | |a Vision par ordinateur. | |
| 650 | 7 | |a Computer vision. |2 fast |0 (OCoLC)fst00872687 | |
| 700 | 1 | |a Kang, Sing Bing, |e author. | |
| 710 | 2 | |a ProQuest. | |
| 830 | 0 | |a IMSC Press Multimedia Ser. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/0131013661/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||