ICIP 2006, Atlanta, GA

Slide Show

Atlanta Conv. & Vis. Bureau


My ICIP 2006 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.

Paper Detail

Session:Stereo Image Processing
Time:Monday, October 9, 14:20 - 17:00
Presentation: Poster
Topic: Stereoscopic and 3-D Processing: Camera calibration
Authors: Refaat Mohamed; Western Kentucky University 
 Abdelrehim Ahmed; University of Louisville 
 Ahmed Eid; Mansoura University 
 Aly A. Farag; University of Louisville 
Abstract: This paper presents a statistical learning-based solution to the camera calibration problem in which the Support Vector Machines(SVM) are used for the estimation of the projection matrix elements. The projection matrix is obtained explicitly by using a dot product kernel in the formulation of the SVM algorithm. The Mean Field Theory is used to approximate an efficient learning procedure for the SVM algorithm. In order to assess the robustness of the proposed approach against noise, the experiments using synthetic data are carried out at different noise levels. The proposed approach is evaluated also with real 3D reconstruction experiments. The experimental results illustrate that the proposed calibration approach is efficient and more robust against noise than other known approaches for camera calibration.