Title :
A fast image segmentation algorithm using color and depth map
Author :
Mirante, Emanuele ; Georgiev, Mihail ; Gotchev, Atanas
Author_Institution :
Univ. degli Studi Roma TRE, Rome, Italy
Abstract :
In this paper, a real-time image segmentation algorithm is presented. It utilizes both color and depth information retrieved from a multi-sensor capture system, which combines stereo camera pairs with time-of-flight range sensor. The algorithm targets low complexity and fast implementation which can be achieved through parallelization. Applications, such as immersive videoconferencing and lecturer segmentation for augmented reality lecture presentation, can benefit from the designed algorithm.
Keywords :
image colour analysis; image segmentation; image sensors; sensor fusion; stereo image processing; augmented reality lecture presentation; depth information; depth map; immersive videoconferencing; lecturer segmentation; multisensor capture system; real-time image segmentation algorithm; stereo camera; time-of-flight range sensor; Cameras; Image color analysis; Image segmentation; Motion segmentation; Pixel; Real time systems; Refining; Image Processing; Object segmentation; Real time systems; Videoconference;
Conference_Titel :
3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2011
Conference_Location :
Antalya
Print_ISBN :
978-1-61284-161-8
DOI :
10.1109/3DTV.2011.5877227