Silhouette-based 3-D model reconstruction from multiple images

Date

2003-08-01

Author

Mulayim, AY
Yilmaz, U
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

131
views

0
downloads

The goal of this study is to investigate the reconstruction of three-dimensional (3-D) graphical models of real objects in a controlled imaging environment and present the work done in our group based on silhouette-based reconstruction. Although many parts of the whole system have been well-known in the literature and in practice, the main contribution of the paper is that it describes a complete, end-to-end system explained in detail. 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 disadvantages of the silhouette-based reconstruction can be removed by an algorithm using photoconsistency. This algorithm his a simpler visibility check, and it eliminates the selection of threshold existing in similar algorithms. Besides, in order to construct the appearance, we use the concept of particles. The reconstruction results are shown both on real world and synthetic objects.

Subject Keywords

Control and Systems Engineering, Human-Computer Interaction, Electrical and Electronic Engineering, Software, Information Systems, General Medicine, Computer Science Applications

URI

https://hdl.handle.net/11511/39573

Journal

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

DOI

https://doi.org/10.1109/tsmcb.2003.814303

Collections

Department of Computer Engineering, Article

Suggestions

OpenMETU
Core

Fast and accurate semiautomatic haptic segmentation of brain tumor in 3D MRI images Latifi-Navid, Masoud; Bilen, Murat; Konukseven, Erhan İlhan; Doğan, Musa; Altun, Adnan (The Scientific and Technological Research Council of Turkey, 2016-01-01) In this study, a novel virtual reality-based interactive method combined with the application of a graphical processing unit (GPU) is proposed for the semiautomatic segmentation of 3D magnetic resonance imaging (MRI) of the brain. The key point of our approach is to use haptic force feedback guidance for the selection of seed points in a bounded volume with similar intensity and gradient. For the automatic determination of a bounded volume of segmentation in real time, parallel computation on the GPU is use...
Shrinkage compensation of holes via shrinkage of interior structure in FDM process Yaman, Ulaş (Springer Science and Business Media LLC, 2018-02-01) An interior design methodology to compensate for the shrinkage in the holes of artifacts fabricated with desktop 3D printers employing fused deposition modeling process is presented in this study. In the conventional way of compensating, the initial geometry is scaled according to the predictive and statistical models so that the critical dimensions will be more accurate when the part is cooled down. The proposed method employs a completely different paradigm. It constructs various interior structures to co...
3-D Rigid Body Tracking Using Vision and Depth Sensors Gedik, O. Serdar; Alatan, Abdullah Aydın (Institute of Electrical and Electronics Engineers (IEEE), 2013-10-01) In robotics and augmented reality applications, model-based 3-D tracking of rigid objects is generally required. With the help of accurate pose estimates, it is required to increase reliability and decrease jitter in total. Among many solutions of pose estimation in the literature, pure vision-based 3-D trackers require either manual initializations or offline training stages. On the other hand, trackers relying on pure depth sensors are not suitable for AR applications. An automated 3-D tracking algorithm,...
Building detection from satellite images using shadow and color information Güdücü, Hasan Volkan; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2008) A method for detecting buildings from satellite/aerial images is proposed in this study. The aim is to extract rectilinear buildings by using hypothesize first verify next manner. Hypothesis generation is accomplished by using edge detection and line generation stages. Hypothesis verification is carried out by using information obtained both from the color segmentation of HSV representation of the image and the shadow detection stages’ output. Satellite/aerial image is firstly filtered to sharpen the edges....
3d face representation and recognition using spherical harmonics Tunçer, Fahri; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2008) In this study, a 3D face representation and recognition method based on spherical harmonics expansion is proposed. The input data to the method is range image of the face. This data is called 2.5 dimensional. Input faces are manually marked on the two eyes, nose and chin points. In two dimensions, using the marker points, the human face is modeled as two concentric half ellipses for the selection of region of interest. These marker points are also used in three dimensions to register the faces so that the n...

Citation Formats

A. Mulayim, U. Yilmaz, and M. V. Atalay, “Silhouette-based 3-D model reconstruction from multiple images,” IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, pp. 582–591, 2003, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/39573.