Computer Animation

Main techniques covered in this course include: Keyframing, story-boarding, Kinematics, physically based dynamics modeling, Motion capture, Scene composition, lighting, and sound track generation Advanced topics such as dynamic simulation of flexible and rigid objects, facial animation, and behavioral/AI based animation are also studied.


3d reconstruction of underwater scenes from uncalibrated video sequences
Kırlı, Mustafa Yavuz; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2008)
The aim of this thesis is to reconstruct 3D representation of underwater scenes from uncalibrated video sequences. Underwater visualization is important for underwater Remotely Operated Vehicles and underwater is a complex structured environment because of inhomogeneous light absorption and light scattering by the environment. These factors make 3D reconstruction in underwater more challenging. The reconstruction consists of the following stages: Image enhancement, feature detection and matching, fundamenta...
Prioritized 3D scene reconstruction and rate-distortion efficient representation for video sequences
İmre, Evren; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2007)
In this dissertation, a novel scheme performing 3D reconstruction of a scene from a 2D video sequence is presented. To this aim, first, the trajectories of the salient features in the scene are determined as a sequence of displacements via Kanade-Lukas-Tomasi tracker and Kalman filter. Then, a tentative camera trajectory with respect to a metric reference reconstruction is estimated. All frame pairs are ordered with respect to their amenability to 3D reconstruction by a metric that utilizes the baseline dis...
Moving Object Detction in 2D and 3D Scenes
Sırtkaya, Salim; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2004)
This thesis describes the theoretical bases, development and testing of an integrated moving object detection framework in 2D and 3D scenes. The detection problem is analyzed in stationary and non-stationary camera sequences and different algorithms are developed for each case. Two methods are proposed in stationary camera sequences: background extraction followed by differencing and thresholding, and motion detection using optical flow field calculated by أKanade-Lucas Feature Trackerؤ. For non-stationary ...
Metric scale and 6dof pose estimation using a color camera and distance sensors
Ölmez, Burhan; Tuncer, Temel Engin; Department of Electrical and Electronics Engineering (2021-2-26)
Monocular color cameras are widely used for 6DoF pose estimation and sparse creation of 3D point cloud of the environment over decades with SfM, VO, and V-SLAM algorithms. In this thesis, a novel algorithm is presented to estimate the metric scale information of a monocular visual odometry algorithm using a distance sensor. This method uses a state-of-the-art visual odometry algorithm Semi-Direct Visual Odometry (SVO) [1] for obtaining sparse 3D point cloud and then matches these points with the measurement...
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
T. Can, “Computer Animation,” 00, 2009, Accessed: 00, 2020. [Online]. Available: