2024-03-29T11:56:42Zhttps://repositori.uji.es/oai/requestoai:repositori.uji.es:10234/1805802022-11-08T14:56:55Zcom_10234_43662com_10234_9col_10234_43643
00925njm 22002777a 4500
dc
MartÃnez Sotoca, José
author
Latorre Carmona, Pedro
author
Pla, Filiberto
author
Javidi, Bahram
author
2018-12
A common assumption in the integral imaging reconstruction is that a pixel will be photo-consistent if all viewpoints observed by the different cameras converge at a single point when focusing at the proper depth. However, the presence of occlusions between objects in the scene prevents this from being fulfilled. In this paper, a novel depth and all-in focus image estimation method is presented, based on a photo-consistency measure that uses the median criterion in relation to the elemental images. The interest of this approach is to find a solution to detect which camera correctly sees the partially occluded object at a certain depth and allows for a precise solution to the object depth. In addition, a robust solution is proposed to detect the boundary limits between partially occluded objects, which are subsequently used during the regularization depth estimation process. The experimental results show that the proposed method outperforms other state-of-the-art depth estimation methods in a synthetic aperture integral imaging framework.
SOTOCA, Jose M., et al. Depth and all-in-focus image estimation in Synthetic Aperture Integral Imaging under partial occlusions. IEEE Access, 2018.
http://hdl.handle.net/10234/180580
http://dx.doi.org/ 10.1109/ACCESS.2018.2886235
synthetic aperture integral imaging
depth map estimation
all-in-focus image
partial occlusions
3D image processing
Depth and All-in-Focus Image Estimation in Synthetic Aperture Integral Imaging Under Partial Occlusions