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Emerging Topics in Computer Vision
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Emerging Topics in Computer Vision (Books & other media combined)

£73.46
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Synopsis

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.







Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration

Extracting camera motion and scene structure from image sequences

Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms

Image-based lighting for illuminating scenes and objects with real-world light images

Content-based image retrieval, covering queries, representation, indexing, search, learning, and more

Face detection, alignment, and recognition--with new solutions for key challenges

Perceptual interfaces for integrating vision, speech, and haptic modalities

Development with the Open Source Computer Vision Library (OpenCV)

The new SAI framework and patterns for architecting computer vision applications

GERARD MEDIONI chairs the Computer Science Department and is Professor at the Institute for Robotics and Intelligent Systems at the University of Southern California. His research interests include designing and implementing very reliable vision systems to accomplish difficult tasks and establishing bridges between computer vision and computer graphics. SING BING KANG is a member of the Interactive Visual Media Group at Microsoft Research, where he specializes in vision-based modeling. He recently co-edited Panoramic Vision: Sensors, Theory, and Applications, and has served on the technical committees of three major computer vision conferences. He holds 12 US patents.

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