3D- Model Reconstruction from Two Stereo Pair Images
DOI:
https://doi.org/10.32628/CSEIT217438Keywords:
3D Reconstruction, modelling, SVR, contour, Silhouette, Texture, Stereo Matching.Abstract
This paper considers the general problem of surface reconstruction from two stereo pair images with prominence on combined source of information about the surface from images data. The aim of is to construct a realistic, freeform 3D model of an object from a two stereo pair images. In this field we can easily construct the 3D model from multiple view and different known camera parameters but from minimal efforts with two images it is very difficult without much detail. This is a most ill posed under-constrained problem and relies on cues like shading, texture, occluding contour etc. Hence, we are suggesting the method which is used to reconstruct free form3D model of objects represents in the two stereo pair images
References
- H. Baker and T. Binford. Depth from edge and intensity based stereo. IJCAI, 1981.
- D. Terzopoulos, A. Witkin, and M. Kass. Symmetry-seeking models for 3D object reconstruction. Proc. ICCV, pages 269–276, 1987.
- M.J. Black and A. Rangarajan. On the unification of line processes, outlier rejection, and robust statistics with applications in early vision. IJCV, 19(1):57–91, 1996.
- D. Scharstein and R. Szeliski. Stereo matching with nonlinear diffusion. IJCV, 28(2):155–174, 1998.
- M. Kass, A. Witkin, and D. Terzopoulos. Snakes: Active contour models. In Proc.ICCV, pages 259–268, 1987.
- D. Liebowitz. Camera Calibration and Reconstruction of Geometry from Images.PhD thesis, University of Oxford, Dept. Engineering Science, Jun 2001.
- D. Liebowitz, A. Criminisi, and A. Zisserman. Creating architectural models from images. In Proc. EuroGraphics, volume 18, pages 39–50, Sep 1999.
- D. Liebowitz and A. Zisserman. Metric rectification for perspective images of planes. In Proc. CVPR, pages 482–488, Jun 1998.
- D. Liebowitz and A. Zisserman. Combining scene and auto-calibration constraints. In Proc. ICCV, Sep 1999.
- Andreas Klaus, Mario Sormann and Konrad Karner,Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure VRVis Research Center 8010 Graz, Austria
- L. Zhang, G. Dugas-Phocion, J.S. Samson, and S.M. Seitz. Single view modeling of free-form scenes. In Proc. CVPR, pages I:990–997, 2001.
- Daniel Scharstein, Richard Szeliski A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
- A. P. Witkin. Recovering surface shape and orientation from texture. Artificial Intelligence, 17(1–3):17–45, Aug 1981.
- D. Hoiem, A. A. Efros, and M. Hebert. Automatic photo pop-up. ACM Trans. Graph., 24(3):577–584, 2005.
- Mukta Prasad, Andrew Zisserman and Andrew Fitzgibbon : Single View Reconstruction of Curved Surfaces University of Oxford, U.K.
- O. Veksler. Stereo matching by compact windows via minimum ratio cycle. ICCV, 2001.
- R. D. Arnold. Automated stereo perception. Technical Report AIM-351, Artificial Intelligence Laboratory, Stanford University, 1983.
- Developing 3D Viewing Model from 2D Stereo Pair with its Occlusion Ratio, Himanshu Johari, Vishal Kaushik & Pawan Kumar Upadhyay.
- Daniel Scharstein, Richard Szeliski, a Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms.
- Andreas Klaus, Mario Sormann and Konrad Karner,Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure VRVis Research Center 8010 Graz, Austria.
- Daniel Scharstein, Richard Szeliski, A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT
This work is licensed under a Creative Commons Attribution 4.0 International License.