The week's pick
Random Articles
Reseach Article
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 |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 119 - Number 15 |
| Year of Publication: 2015 |
| Authors: Ashis Pradhan, Ashit Kr. Singh, Shubhra Singh |
10.5120/21144-4199
|
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
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.
References
- Han, F. and Zhu, S. C. , "Bayesian Reconstruction of 3-D shapes and scenes from a single image". Proceeding of the first IEEE International Workshop on Higher Level knowledge in 3-D Modeling and Motion Analysis. 2003
- Rother, D. , Patwardhan, K. , Aganj, I. and Sapiro, G. , "3-D Priors for Scene Learning from a Single View. " S3-D Workshop (at Proc. IEEE Int'l Conf. Computer Vision and Pattern Recognition). 2008.
- Ted Shultz and Luis A. Rodriguez, "3-D Reconstruction from two 2-D images", ECE 533 Fall 2003.
- Sebastian Roy and Ingemar Cox. A maximum-?ow formulation of the n-camera stereo correspondence problem. In IEEE Proc. of Int. Conference on Computer Vision, pages 492–499, 1998.
- Lee Sang-Hyun, Park Dae-Won, Jeong Je-Pyong and Moon Kyung-Il, "Conversion 2-D Image to 3-D Based on Squeeze function and Gradient Map", International Journal of Software Engineering and Its Applications Vol. 8, No. 2, 2014.
- Arne Henrichsen, "3-D Reconstruction and Camera Calibration from 2-D Images", Department of Electrical Engineering, University of Cape Town, December 2000.
- Assoc. Prof. Dr. Ir. E. A. Hendriks Dr. Ir. P. A. Redert, "Converting 2-D to 3-D: A Survey", Information and Communication Theory Group (ICT) Faculty of Electrical Engineering, Mathematics and Computer Science Delft University of Technology, the Netherlands, December 2005.
- Rashmi, Mukesh Kumar, Rohit Saxena, "Algorithm and Technique on Various Edge Detection: A Survey", Signal & Image Processing: An International Journal (SIPIJ) Vol. 4, No. 3, June 2013.
- Robert J. Woodham, "Photometric method for determining surface orientation from multiple images", Department of Computer Science, University of British Columbia, Optical Engineering, 1980.
- Carlos Hernandez, George Vogiatzis, Roberto Cipolla, "Multi-View photometric stereo", Pattern Analysis and Machine Intelligence, IEEE Transactions, March 2008.
- Aaron Hertzmann, Steven M. Seitz, "Example-Based photometric stereo: Shape reconstruction with general, varying BRDFs", Pattern Analysis and Machine Intelligence, IEEE Transactions, Vol 27, August 2005.
- S. Barsky, "Surface Shape and Colour Reconstruction using Photometric Stereo", PhD thesis, School of Electronics and Physical Science, University of Surrey, UK, 2003.
- C. Hernandez, F. Schmitt, and R. Cipolla, "Silhouette coherence for camera calibration under circular motion," IEEE Trans. Pattern Anal. Mach. Intell. , vol. 29, no. 2, pp. 343-349, Feb 2007.
- Hayakawa, Hideki. "Photometric stereo under a light source with arbitrary motion. " Journal of the Optical Society of America, 1994. Available online at http://pages. cs. wise. edu%7Ecs7661/projects/phs/hayakawa. pdf
- Zhang, R. ; Tsai, P. ; Cryer, J. E. ; Shah, M. (1999), "Shape from Shading: A Survey", IEEE Transactions on Pattern Analysis and Machine Intelligence archive, Vol. 21, Issue 8, Pages: 690-706.
- Ning Qian, " Binocular Disparity and perception of Depth. ", Center for Neurobiology and Behavior Columbia University, Neuron, Vol. 18, 359-368,March 1997.
- Seitz, Steven. "Computer Vision (CSEP 576), Winter 2005 - Project 3: Photometric Stereo. " Available online at: http://www. cs. washington. edu/education/courses/csep576/05wi/projects/project3/project3. htm
- Adam Bechle. "Computer Vision (CS 766),2008 Project 3: Photometric Stereo" Available online at http://pages. cs. wisc. edu/~lizhang/courses/cs766-2008f/projects/phs/students/bechle/website. html
- Dr. SukhenduDas. "Computer Vision (CS 635 ), Shape from Shading. " Available online at http://www. cse. iitm. ac. in/~vplab/courses/CV_DIP/PDF/ShapeFromShading. pdf
Index Terms
Keywords