3D face modeling using multiple images

Date

2006-04-19

Author

BUYUKATALAY, SONER
Halıcı, Uğur
AKAGUNDUZ, ERDEM
ULUSOY PARNAS, İLKAY

Metadata

Show full item record

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

Item Usage Stats

376
views

0
downloads

3D face modeling based on real images is one of the important subject of Computer Vision that is studied recently. In this paper the study that eve contucted in our Computer Vision and Intelligent Systems Research Laboratory on 3D face model generation using uncalibrated multiple still images is explained.

Subject Keywords

3D face modeling, Computer vision, Intelligent Systems Research Laboratory

URI

https://hdl.handle.net/11511/53774

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

3D face reconstruction using stereo vision Dikmen, Mehmet; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2006) 3D face modeling is currently a popular area in Computer Graphics and Computer Vision. Many techniques have been introduced for this purpose, such as using one or more cameras, 3D scanners, and many other systems of sophisticated hardware with related software. But the main goal is to find a good balance between visual reality and the cost of the system. In this thesis, reconstruction of a 3D human face from a pair of stereo cameras is studied. Unlike many other systems, facial feature points are obtained a...
3D face reconstruction using stereo images and structured light Öztürk, Ahmet Oğuz; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2007) Nowadays, 3D modelling of objects from multiple images is a topic that has gained great recognition and is widely used in various fields. Recently, lots of progress has been made in identification of people using 3D face models, which are usually reconstructed from multiple face images. In this thesis, a system including stereo cameras and structured light is built for the purpose of 3D modelling. The system outputs are 3D shapes of the face and also the texture information registered to this shape. Althoug...
3D synthetic human face modelling tool based on T-spline surfaces Aydoğan, Ali; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2007) In this thesis work, a 3D Synthetic Human Face Modelling Software is implemented using C++ and OpenGL. Bézier surfaces, B-spline surfaces, Nonuniform Rational B-spline surfaces, Hierarchical B-Spline surfaces and T-spline surfaces are evaluated as options for the surface description method. T-spline surfaces are chosen since they are found to be superior considering the requirements of the work. In the modelling process, a modular approach is followed. Firstly, high detailed facial regions (i.e. nose, eyes,...
Motion estimation using complex discrete wavelet transform Sarı, Hüseyin; Severcan, Mete; Department of Electrical and Electronics Engineering (2003) The estimation of optical flow has become a vital research field in image sequence analysis especially in past two decades, which found applications in many fields such as stereo optics, video compression, robotics and computer vision. In this thesis, the complex wavelet based algorithm for the estimation of optical flow developed by Magarey and Kingsbury is implemented and investigated. The algorithm is based on a complex version of the discrete wavelet transform (CDWT), which analyzes an image through blo...
3D Object Modeling by Structured Light and Stereo Vision Ozenc, Ugur; Tastan, Oguzhan; GÜLLÜ, MEHMET KEMAL (2015-05-19) In this paper, we demonstrate a 3D object modeling system utilizing a setup which consists of two CMOS cameras and a DLP projector by making use of structured light and stereo vision. The calibration of the system is carried out using calibration pattern. The images are taken with stereo camera pair by projecting structured light onto the object and the correspondence problem is solved by both epipolar constraint of stereo vision and gray code constraint of structured light. The first experimental results s...

Citation Formats

S. BUYUKATALAY, U. Halıcı, E. AKAGUNDUZ, and İ. ULUSOY PARNAS, “3D face modeling using multiple images,” 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53774.