Consumer Depth Cameras for Computer Vision Research Topics and Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Fossati, Andrea (Επιμελητής έκδοσης), Gall, Juergen (Επιμελητής έκδοσης), Grabner, Helmut (Επιμελητής έκδοσης), Ren, Xiaofeng (Επιμελητής έκδοσης), Konolige, Kurt (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London : Imprint: Springer, 2013.
• Σειρά: Advances in Computer Vision and Pattern Recognition,
• Θέματα: Computer science.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Image Processing and Computer Vision.; Pattern Recognition.; Computer Graphics.

The launch of Microsoft’s Kinect, the first high-resolution depth-sensing camera for the consumer market, generated considerable excitement not only among computer gamers, but also within the global community of computer vision researchers. The potential of consumer depth cameras extends well beyond...

Πίνακας περιεχομένων:

• 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.