Research Article

An Approach to Calculate Depth of an Object in a 2-D Image and Map it into 3-D Space

by  Ashis Pradhan, Ashit Kr. Singh, Shubhra Singh
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Issue 15
Published: June 2015
Authors: Ashis Pradhan, Ashit Kr. Singh, Shubhra Singh
10.5120/21144-4199
PDF

Ashis Pradhan, Ashit Kr. Singh, Shubhra Singh . An Approach to Calculate Depth of an Object in a 2-D Image and Map it into 3-D Space. International Journal of Computer Applications. 119, 15 (June 2015), 27-32. DOI=10.5120/21144-4199

                        @article{ 10.5120/21144-4199,
                        author  = { Ashis Pradhan,Ashit Kr. Singh,Shubhra Singh },
                        title   = { An Approach to Calculate Depth of an Object in a 2-D Image and Map it into 3-D Space },
                        journal = { International Journal of Computer Applications },
                        year    = { 2015 },
                        volume  = { 119 },
                        number  = { 15 },
                        pages   = { 27-32 },
                        doi     = { 10.5120/21144-4199 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2015
                        %A Ashis Pradhan
                        %A Ashit Kr. Singh
                        %A Shubhra Singh
                        %T An Approach to Calculate Depth of an Object in a 2-D Image and Map it into 3-D Space%T 
                        %J International Journal of Computer Applications
                        %V 119
                        %N 15
                        %P 27-32
                        %R 10.5120/21144-4199
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

The essence of an image is a projection from a 3-D scene onto a 2-D plane, during which the depth information is lost. The 3-D point corresponding to a specific image point is constrained to be on the line of sight. From a single image, it is very difficult to determine the depth information of various object points in an image. If two or more 2-D images are used, then the relative depth point of the image points can be calculated which can be further used to reconstruct the 3-D image by projecting the image points which includes the depth information as well. This paper presents two techniques namely binocular disparity and photometric stereo for depth calculation and 3-D reconstruction of an object in an image as it requires minimum user intervention. Binocular disparity method requires a pair of stereo images to compute disparity and depth to generate the desired 3-D view whereas the photometric stereo method requires multiple images under different light directions.

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Feature point Binocular disparity Edge detection Depth Photometric stereo Normal map Highlight.

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