Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Increasing Robustness of Real-Time Edge-Based Tracking

Title: Increasing Robustness of Real-Time Edge-Based Tracking
Abstract: In this project, a real-time edge based visual tracking system is developed. It associates visible edge features of three-dimensional CAD model with the target object's representation on the two-dimensional image plane. Therefore a video stream is processed. Current algorithms make it possible to estimate a camera projection from the deviation between image and its projection. Lie groups and corresponding Lie algebra are used because of their efficient parameterization; and simple representation of the motion computations. A least-square approach estimates the projection between two consecutive video frames. Two standard outlier detection algorithms are used to robustify the system.
Student: Kenan Bektas
Director: Gudrun Klinker
Supervisor: Benjamin Becker
Type: Master Thesis
Area: Computer Vision
Status: finished
Start: 2007/08/15
Finish: 2008/01/31

Edit | Attach | Refresh | Diffs | More | Revision r1.3 - 14 Mar 2008 - 14:46 - GudrunKlinker