Time Of Flight Cameras And Microsoft Kinect


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Time-of-Flight Cameras and Microsoft KinectTM


Time-of-Flight Cameras and Microsoft KinectTM

Author: Carlo Dal Mutto

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-03-27


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Time-of-Flight Cameras and Microsoft KinectTM closely examines the technology and general characteristics of time-of-flight range cameras, and outlines the best methods for maximizing the data captured by these devices. This book also analyzes the calibration issues that some end-users may face when using these type of cameras for research, and suggests methods for improving the real-time 3D reconstruction of dynamic and static scenes. Time-of-Flight Cameras and Microsoft KinectTM is intended for researchers and advanced-level students as a reference guide for time-of-flight cameras. Practitioners working in a related field will also find the book valuable.

Time-Of-Flight Cameras and Microsoft Kinect


Time-Of-Flight Cameras and Microsoft Kinect

Author: Springer

language: en

Publisher:

Release Date: 2012-03-01


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Time-of-Flight Cameras


Time-of-Flight Cameras

Author: Miles Hansard

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-11-06


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Time-of-flight (TOF) cameras provide a depth value at each pixel, from which the 3D structure of the scene can be estimated. This new type of active sensor makes it possible to go beyond traditional 2D image processing, directly to depth-based and 3D scene processing. Many computer vision and graphics applications can benefit from TOF data, including 3D reconstruction, activity and gesture recognition, motion capture and face detection. It is already possible to use multiple TOF cameras, in order to increase the scene coverage, and to combine the depth data with images from several colour cameras. Mixed TOF and colour systems can be used for computational photography, including full 3D scene modelling, as well as for illumination and depth-of-field manipulations. This work is a technical introduction to TOF sensors, from architectural and design issues, to selected image processing and computer vision methods.