3D face modeling using multiple images

Halıcı, Uğur
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.


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,...
Hierarchical representations for visual object tracking by detection
Beşbınar, Beril; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2015)
Deep learning is the discipline of training computational models that are composed of multiple layers and these methods have improved the state of the art in many areas such as visual object detection, scene understanding or speech recognition. Rebirth of these fairly old computational models is usually related to the availability of large datasets, increase in the computational power of current hardware and more recently proposed unsupervised training methods that exploit the internal structure of very lar...
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...
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.