Title :
3D shape estimation from silhouettes using mean-shift
Author :
Kim, Donghoon ; Ruttle, Jonathan ; Dahyot, Rozenn
Author_Institution :
Sch. of Comput. Sci. & Stat., Trinity Coll. Dublin, Dublin, Ireland
Abstract :
In this article, a novel method to accurately estimate 3D surface of objects of interest is proposed. Each ray projected from 2D image plane to 3D space is modelled with the Gaussian kernel function. Then a mean shift algorithm with an annealing scheme is used to find maximums of the probability density function and recovers the 3D surface. Experimental results show that our method is more accurate to estimate 3D surface than the Radon transform-based approach.
Keywords :
Gaussian processes; Radon transforms; object detection; probability; shape recognition; 2D image plane; 3D shape estimation; 3D surface estimation; Gaussian kernel function; Radon transform; mean shift algorithm; probability density function; silhouettes; Biomedical image processing; Cameras; Computed tomography; Histograms; Image reconstruction; Kernel; Magnetic resonance imaging; Probability density function; Shape; Surface reconstruction; 3D shape estimation; 3D shape reconstruction; 3D shape recovery; mean shift; shape from silhouettes;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495474
