Title :
Integrating 3D point clouds with multi-viewpoint video
Author :
Chen, Feng ; Cheng, Irene ; Basu, Anup
Author_Institution :
Dept. of Comput. Sc., Univ. of Alberta, Edmonton, AB
Abstract :
Multi-viewpoint video has recently gained significant attention in academic and commercial fields. In this work, we propose a new method for incorporating 3D point cloud models into multi-viewpoint video. First, we synthesize virtual multi-viewpoint video utilizing depth and texture maps of the input video. Then, we integrate 3D point cloud models with the resulting multi-viewpoint video generated in the first step by analyzing the depth information. As shown in our experiments, 3D point clouds can be seamlessly inserted into a multi-viewpoint video and realistic effect can be obtained. In addition, we compare the virtual viewpoint image generated by interpolating the two nearest neighbor cameras and by re-projecting the nearest camera.
Keywords :
image texture; video signal processing; 3D point cloud models; depth maps; multiviewpoint video; texture maps; Clouds;
Conference_Titel :
3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2009
Conference_Location :
Potsdam
Print_ISBN :
978-1-4244-4317-8
Electronic_ISBN :
978-1-4244-4318-5
DOI :
10.1109/3DTV.2009.5069628
