3D scene reconstruction from uncalibrated images.

Topay, Ugur


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...
3D Face Reconstruction Using Stereo Images and Structured Light
OZTURK, Ahmet Oguz; Halıcı, Uğur; ULUSOY PARNAS, İLKAY; AKAGUNDUZ, Erdem (2008-04-22)
In this paper, the 3D face scanner that we developed using stereo cameras and structured light together is presented. Structured light having a pattern of vertical lines is used to create feature points and to match them easily. 3D point cloud obtained by stereo analysis is post processed to obtain the 3D model in obj format.
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 position reconstruction of rigid bodies using single camera images
Kılınç, İ. Alpar; Platin, Bülent E.; Department of Mechanical Engineering (1994)
3D Object Recognition by Geometric Hashing
Eskizara, Omer; Akagündüz, Erdem; Ulusoy, İlkay (2009-01-01)
Using transform invariant 3D fatures obtained from a database of 3D range images, geometric hashing is applied for the purpose of 3D object recognition. Mean (H) and Gaussian (K) curvature values within a scale-space of the surface is used Since H and K values are used and a scale-space of the surface is constructed the method is independent of transformation and resolution. The method is tested on the Stuttgart 3D range image database [1].
Citation Formats
U. Topay, “3D scene reconstruction from uncalibrated images.,” Middle East Technical University, 2002.