Iterative Photometric Stereo with Shadow and Specular Region Detection for 3D Reconstruction

Date

2009-04-11

Author

BUYUKATALAY, Soner
BİRGÜL, ÖZLEM
Halıcı, Uğur

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

177
views

0
downloads

Photometric stereo is a 3D reconstruction algorithm that uses the images of an object with different light conditions and its performance is affected by the shades and specular regions in the images. Especially, the use of Lambert reflectance model results in errors in the reconstructed surface normals. In this study an iterative approach was used to generate masks corresponding to these problematic regions and the surface normals were reconstructed using a Lambert based algorithm that excludes these regions in calculations. A simulation model with varying albedo on a half sphere was constructed and the results for masked and non-masked cases were compared. The total error in calculated surface normals was reduced to 1.71% from 11.51% when the iterative photometric stereo algorithm was used.

Subject Keywords

Photometry , Stereo İmage Processing , Image Reconstruction , Surface Reconstruction , Iterative Algorithms , Reconstruction Algorithms , Reflectivity , Iterative Methods

URI

https://hdl.handle.net/11511/48220

DOI

https://doi.org/10.1109/siu.2009.5136393

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Image-based extraction of material reflectance properties of a 3D rigid object Erdem, ME; Erdem, IA; Yilmaz, UG; Atalay, Mehmet Volkan (2004-01-01) In this study, an appearance reconstruction method based on extraction of material reflectance properties of a three-dimensional (3D) object from its two-dimensional (2D) images is explained. One of the main advantages of this system is that the reconstructed object can be rendered in real-time with photorealistic quality in varying illumination conditions. The reflectance of the object is decomposed into diffuse and specular components. While the diffuse component is stored in a global texture, the specula...
Reconstruction of three dimensional models from real images Yilmaz, U; Mulayim, A; Atalay, Mehmet Volkan (2002-06-21) An image based model reconstruction system is described. Real images of a rigid object acquired under a simple but controlled environment are used to recover the three dimensional geometry and the surface appearance. Based on a multi-image calibration method, an algorithm to extract the rotation axis of a turn-table has been developed. Furthermore, this can be extended to estimate robustly the initial bounding volume of the object to be modeled The coarse volume obtained, is then carved using a stereo corre...
Accurate Reconstruction of Near-Epipolar Line Segments from Stereo Aerial Images Ok, Ali Ozgun; Wegner, Jan Dirk; Heipke, Christian; Rottensteiner, Franz; Soergel, Uwe; Toprak, Vedat (2012-01-01) In this study, a new 3D reconstruction approach for line segments from stereo images is proposed which covers the case that the image lines are nearly-aligned (<= 10 degrees) with the epipolar line. The method manipulates the redundancy inherent in line pair-relations to generate artificial 3D points and utilizes those entities during the estimation process to improve the reconstruction of the line segments. The best points for the reconstruction are selected based on a newly proposed weight function. To te...
Efficient algorithms for convolutional inverse problems in multidimensional imaging Doğan, Didem; Öktem, Figen S.; Department of Electrical and Electronics Engineering (2020) Computational imaging is the process of indirectly forming images from measurements using image reconstruction algorithms that solve inverse problems. In many inverse problems in multidimensional imaging such as spectral and depth imaging, the measurements are in the form of superimposed convolutions related to the unknown image. In this thesis, we first provide a general formulation for these problems named as convolutional inverse problems, and then develop fast and efficient image reconstruction algorith...
Determination of the position and orientation of rigid bodies by using single camera images Kilic, Varlik; Platin, Bülent Emre (2007-07-04) This study aims to present a new reconstruction method which enables reconstruction of 3D configuration of an object using single camera images. A secondary planar target which is a white circle with two internal black spots, one is located at the center, is used. The proposed reconstruction method is monocular and non-iterative. The elliptical contour and spot center locations of the target in an image is used to determine the 6-DOF configuration parameters of an object, on which the secondary target is ri...

Citation Formats

S. BUYUKATALAY, Ö. BİRGÜL, and U. Halıcı, “Iterative Photometric Stereo with Shadow and Specular Region Detection for 3D Reconstruction,” 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48220.