Name
Abstract | ||
|---|---|---|
3D Holoscopic Imaging (3DHI) is a promising technique for viewing natural continuous parallax 3D objects within a wide viewing zone using the principle of “Fly's eye”. The 3D content is captured using a single aperture camera in real-time and represents a true volume spatial optical model of the object scene. The 3D content viewed by multiple viewers independently of their position, without 3D eyewear glasses. The 3DHI technique merely requires a single recording that the acquisition of the 3D information and the compactness of depth measurement that is used has been attracting attention as a novel depth extraction technique. This paper presents a new corresponding and matching technique based on a novel automatic Feature-Match Selection (FMS) algorithm. The aim of this algorithm is to estimate and extract an accurate full parallax 3D model form from a 3D Omni-directional Holoscopic Imaging (3DOHI) system. The basis for the novelty of the paper is on two contributions: feature blocks selection and corresponding automatic optimization process. There are solutions for three main problems related to the depth map estimation from 3DHI: uncertainty and region homogeneity at image location, dissimilar displacements within the matching block around object borders, and computational complexity. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/3DTV.2013.6676640 | 3DTV-Conference: The True Vision-Capture, Transmission and Dispaly of 3D Video |
Keywords | Field | DocType |
computational complexity,feature extraction,holography,image matching,3D information acquisition,3D omnidirectional holoscopic imaging system,3DOHI,FMS algorithm,Fly eye,automatic feature-match selection algorithm,automatic optimization,computational complexity,depth map estimation,depth measurement,dissimilar displacements,feature block selection,full parallax 3D model,image location,natural continuous parallax 3D objects,scene depth extraction,single aperture camera,viewing zone,volume spatial optical model,3D Omni-directional Holoscopic Image,Auto feature thresholding,Depth map,Disparity map,Optimal corresponding,Viewpoints image | Eyewear,Aperture,Computer vision,Holography,Parallax,Computer science,Feature extraction,Artificial intelligence,Depth map,Measured depth,Computational complexity theory | Conference |
ISSN | Citations | PageRank |
2161-2021 | 3 | 0.52 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alazawi, E. | 1 | 3 | 0.52 |
| Amar Aggoun | 2 | 115 | 21.34 |
| Maysam F. Abbod | 3 | 224 | 28.14 |
| Swash, M.R. | 4 | 7 | 2.09 |