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3d Structure Reconstructıon From Video Sequences
This thesis deals with the problem of three dimensional scene reconstruction from multiple camera images. This is a well established problem in computer vision and has been significantly researched. In recent years some excellent results have been achieved, however existing algorithms often fall short of many biological systems in terms of robustness and generality. The aim of this research was to develop improved algorithms for reconstructing 3D scenes, with a focus on accurate system modelling and correctly dealing with occlusions.
In the second category, fundamental parts of stereo correspondence alghoritms like matching score functions, energy minimization techniques and occlusion handling methods are studied.
In the second part of this study, novel methods for matching score function and occlussion handling are proposed. Also, a novel method for outlier rejection which can be increase the effectiveness of plane fitting step is proposed.
Finally, all this proposed methods are tested with image sets from “Middlebury” test bed and final disparity maps are compared
KUL Tuncay
Danışman : Prof. Dr. Aydın AKAN
Anabilim Dalı : Elektrik-Elektronik Anabilim Dalı
Mezuniyet Yılı : 2008
Tez Savunma Jürisi : Prof. Dr. Aydın AKAN
Prof. Dr. Sıddık YARMAN
Prof. Dr. Hakan ALİ ÇIRPAN
Prof. Dr. Gökhan ÜZGÖREN
Prof. Dr. Osman Nuri UÇAN
Dostları ilə paylaş: | 
