Reconstruction of three dimensional models from real images

Date

2002-06-21

Author

Yilmaz, U
Mulayim, A
Atalay, Mehmet Volkan

Metadata

Show full item record

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

Item Usage Stats

211
views

0
downloads

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 correction method which removes the disadvantages of silhouette based reconstruction by photoconsistency. The concept of surface particles is adapted in order to extract a texture map for the model. Some metrics are defined to measure the quality of the reconstructed models.

Subject Keywords

Image reconstruction, Reconstruction algorithms, Surface reconstruction , Cameras, Calibration , Geometry, Voting, Robustness, Stereo image processing, Surface texture

URI

https://hdl.handle.net/11511/38303

DOI

https://doi.org/10.1109/tdpvt.2002.1024117

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Appearance reconstruction of three dimensional models from real images Yilmaz, U; Mulayim, AY; Atalay, Mehmet Volkan (2002-10-30) 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 corr...
3D reconstruction of rigid objects from multiple calibrated views Mülayim, Adem Yaşar; Atalay, Mehmet Volkan; Halıcı, Uğur; Department of Computer Engineering (2003) In this thesis, an image based three dimensional (3D) model reconstruction system is investigated and the work done for such a complete reconstruction system is presented. Calibrated images of a rigid object, acquired under a simple but controlled environment, are used to recover the 3D object geometry and the surface appereance. Based on a multi-image camera calibration method, an algorithm to define the rotation axis of a turn-table with respect to the fixed camera coordinate frame has been developed. Fur...
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...
Iterative Photometric Stereo with Shadow and Specular Region Detection for 3D Reconstruction BUYUKATALAY, Soner; BİRGÜL, ÖZLEM; Halıcı, Uğur (2009-04-11) 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 region...
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...

Citation Formats

U. Yilmaz, A. Mulayim, and M. V. Atalay, “Reconstruction of three dimensional models from real images,” 2002, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38303.