Consumer Depth Cameras for Computer Vision, Research Topics and Applications
Consumer Depth Cameras for Computer Vision(2013)
摘要
The potential of consumer depth cameras extends well beyond entertainment and gaming, to real-world commercial applications. This authoritative text reviews the scope and impact of this rapidly growing field, describing the most promising Kinect-based research activities, discussing significant current challenges, and showcasing exciting applications. Features: presents contributions from an international selection of preeminent authorities in their fields, from both academic and corporate research; addresses the classic problem of multi-view geometry of how to correlate images from different viewpoints to simultaneously estimate camera poses and world points; examines human pose estimation using video-rate depth images for gaming, motion capture, 3D human body scans, and hand pose recognition for sign language parsing; provides a review of approaches to various recognition problems, including category and instance learning of objects, and human activity recognition; with a Foreword by Dr. Jamie Shotton.
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关键词
corporate research,various recognition problem,research topics,consumer depth camera,dr. jamie shotton,promising kinect-based research activity,human activity recognition,consumer depth cameras,computer vision,classic problem,human body,video-rate depth image,authoritative text
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