Verkauf durch Sack Fachmedien

Fossati / Gall / Konolige

Consumer Depth Cameras for Computer Vision

Research Topics and Applications

Medium: Buch
ISBN: 978-1-4471-4639-1
Verlag: Springer
Erscheinungstermin: 04.10.2012
Lieferfrist: bis zu 10 Tage
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.

Produkteigenschaften


  • Artikelnummer: 9781447146391
  • Medium: Buch
  • ISBN: 978-1-4471-4639-1
  • Verlag: Springer
  • Erscheinungstermin: 04.10.2012
  • Sprache(n): Englisch
  • Auflage: 2013
  • Serie: Advances in Computer Vision and Pattern Recognition
  • Produktform: Gebunden, HC runder Rücken kaschiert
  • Gewicht: 5089 g
  • Seiten: 210
  • Format (B x H x T): 160 x 241 x 17 mm
  • Ausgabetyp: Kein, Unbekannt

Autoren/Hrsg.

Herausgeber

Fossati, Andrea

Gall, Juergen

Konolige, Kurt

Grabner, Helmut

Ren, Xiaofeng

Part I: 3D Registration and Reconstruction.- 3D with Kinect.- Real-Time RGB-D Mapping and 3-D Modeling on the GPU using the Random Ball Cover.- A Brute Force Approach to Depth Camera Odometry.- Part II: Human Body Analysis.- Key Developments in Human Pose Estimation for Kinect.- A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera.- Home 3D Body Scans from a Single Kinect.- Real-Time Hand Pose Estimation using Depth Sensors.- Part III: RGB-D Datasets.- A Category-Level 3D Object Dataset: Putting the Kinect to Work.- RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark.- RGBD-HuDaAct: A Color-Depth Video Database for Human Daily Activity Recognition.