Research seminar "Estimation of scene structure and camera movement with calibrated stereo camera system"

Abstract

With advancement in computer performance and camera quality, stereo vision is becoming an
increasingly important source of information in computer vision.
This seminar provides an overview of a stereo system with an emphasis on the problem of visual odometry.
Visual odometry is a technique for estimating egomotion of a monocular or multiple camera system from
a sequence of acquired images. The technique is interesting due to many interesting applications such as
autonomous navigation or driver assistance, but also because it forms the basis for more involved
approaches which rely on partial or full 3D reconstruction of the scene.

Link on recent paper: http://arxiv.org/abs/1310.0310.

CV

Ivan Krešo received his BSc and MSc degree from the Faculty of Electrical Engineering and Computing in Zagreb. He finished the undergraduate and master study program in Computer Science in 2011 and 2013. Currently, he is employed at the Faculty of Electrical Engineering and Computing, University of Zagreb, as a research engineer at the Department of Electronics, Microlelectronics, Computer and Intelligent Systems, where he is pursuing his PhD degree. His research interests are in the area of computer vison and machine learning.