3-D Image Reconstruction from 2-D Image Using Lab VIEW
N.V. Sai Swaroop1, A.V.S.S.T.Siddharatha2, A.SriNath3, S.Vandana4, G.Shanthi5
1N.V.Sai Swaroop, Pursuing B. Tech, Department of Electronics and Instrumentation Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India.
2A.V.S.S.T.Siddharatha, Pursuing B. Tech., Department of Electronics and Instrumentation Engineering, VNR Vignana Jyothi Institute of Engineering and Technology Hyderabad, India.
3A.Sri Nath, Pursuing B. Tech, Department of Electronics and Instrumentation Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India.
4S.Vandana, Asst. Professor, Department of Electronics and Instrumentation Engineering, VNR Vignana Jyothi Institute of Engineering and Technology Hyderabad, India.
5G.Shanthi, Asst. Professor, Department of Electronics and Instrumentation Engineering, VNR Vignana Jyothi Institute of Engineering and Technology Hyderabad, India.
Manuscript received on March 22, 2013. | Revised Manuscript received on April 13, 2013. | Manuscript published on April 30, 2013. | PP: 669-674 | Volume-2, Issue-4, April 2013. | Retrieval Number: D1586042413/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Traditionally, ophthalmologists and neurologists are depending on 2-D images for detection of retinopathy and fractures in the skull and their diagnosis. Analysis using 2-D images has certain limitations such as intensity and color of the same physical positions may vary considerably across consecutive images. Secondly, the shape of retinal fundus is almost planar, which makes the estimation of depth more difficult. Analysis of the skull is also complex by viewing it from single two dimensional view. So, objective of our paper is 2-D registration, depth extraction and 3-D reconstruction of an image.3-D reconstruction system is needed, which enables the ophthalmologists and neurologists to monitor the depth variations from the desktop itself. In this paper, a 3-D depth extraction and reconstruction system is designed and developed to estimate the depth variations as well as identify the defects of the images. This paper has enumerated the use of Lab VIEW to implement a complex 3-D depth extraction and shape reconstruction system which is of lower cost and of acceptable performance.
Keywords: 2-D registration, Depth Extraction, 3-D reconstruction, Lab VIEW.