Depth Estimation From Stereo Image Based on Texture And Sparsity
| Author(s) | : | Bhavika B. Solanki, Jay R. Bhadeshiya |
| Institution | : | PG Student,EC Department,AITS RAJKOT GTU, Gujarat, INDIA |
| Published In | : | Vol. 2, Issue 14 — January 2015 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
This paper presents a stereo image processingtechniques for the detection of a depth information from images.Inspite of a remarkable growth in the last few years, theavailability of 3D content is still diminutive by that of its 2Dportion. To solve this problem, many 2D-to-3D image methodshave been proposed. Here a stereo image processing technique isactually a 3D modeling technique. We analyze two types ofmethods. The first is a texture mapping. For a detail like surfacetexture and a color to extract from computer generated graphicmodel or 3D model, is a technique called as texture mapping .The second method is based on sparsity to obtain depthinformation of stereo image. Finally comparison of bothmethods are elaborated with parameters like PSNR and MSE.Hence at the end it shows a better algorithm for stereo image.
Bhavika B. Solanki, Jay R. Bhadeshiya, “Depth Estimation From Stereo Image Based on Texture And Sparsity”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 14, pp. -, January 2015.
