Title :
Image-adapted voxelization in multicamera settings
Author :
Salvador, Jordi ; Casas, Josep R.
Author_Institution :
Image Process. Group, Tech. Univ. of Catalonia, Barcelona
Abstract :
This paper presents a new procedure to explore 3D for visual analysis in multicamera environments. We propose a 3D geometry to sample (voxelize) the space when checking the consistency of the analyzed features in the multiple views. Contrary to regular voxelization, the proposed geometry is irregular in 3D, but becomes regular once projected onto camera images. The aim is to better exploit the redundancy and the enriched information provided in multiview frameworks at the analysis stage. This is accomplished by balancing the usage of the available data (i.e. captured pixels) across the multiple cameras, instead of focusing in a regular sampling of the 3D space from which we do not have direct data. An efficient recursive algorithm that uses the proposed geometry is outlined, and the experimental results reflect higher accuracy than regular voxelization with equivalent restrictions for the chosen multiview analysis applications
Keywords :
cameras; geometry; image sampling; geometry; image-adapted voxelization; multicamera environment; recursive algorithm; visual analysis; Algorithm design and analysis; Cameras; Face detection; Hafnium; Image analysis; Image sampling; Information geometry; Layout; Pixel; Space exploration; camera calibration; epipolar line; multicamera; multiview; non-regular voxelization; visual analysis;
Conference_Titel :
Multimedia Signal Processing, 2006 IEEE 8th Workshop on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-9751-7
Electronic_ISBN :
0-7803-9752-5
DOI :
10.1109/MMSP.2006.285289