DocumentCode :
3549252
Title :
RGB-Z: mapping a sparse depth map to a high resolution RGB camera image
Author :
Rafii, Abbas ; Rossbach, Chris ; Zhao, Peter
Volume :
2
fYear :
2005
fDate :
20-25 June 2005
Abstract :
The video stream from a commercial RGB camera is mapped to a semi-synchronous video stream of a time-of-flight Z-depth camera to produce a composite RGB-Z video stream. The combined image is rendered to show both the color and depth effects of the scene. Each pixel of the composite image provides both RGB encoding and Z depth in real-world coordinates. The data is useful for both machine vision and consumer imaging applications. The RGB brightness data provides detailed image of the scene including textures, colors and ambient light information. The time-of-flight depth camera provides additional information about the relative location and size of objects independent of texture and ambient-light condition. The demo shows several 3D rendering technique including wire-frame and color shading.
Keywords :
brightness; cameras; computer vision; image colour analysis; image resolution; image sensors; image texture; rendering (computer graphics); video streaming; 3D rendering technique; RGB brightness data; RGB camera image; RGB encoding; ambient light information; color shading; consumer imaging applications; image textures; machine vision; semisynchronous video stream; sparse depth map; time-of-flight Z-depth camera; Brightness; Cameras; Image resolution; Inference algorithms; Infrared detectors; Layout; Pixel; Rendering (computer graphics); Signal resolution; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2372-2
Type :
conf
DOI :
10.1109/CVPR.2005.303
Filename :
1467605
Link To Document :
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