Nikos Georgis

Learn More
This paper is concerned with the accurate and robust estimation of the fundamental matrix. We show that, given a certain conditions, a basic linear algorithm can yield excellent accuracy, in cases two orders of magnitude better than sophisticated algorithms. The key element of the success is the accuracy and the statistical distribution of the errors of(More)
The 3D image reconstruction method based on Projective Geometry is very attractive for practical applications because it does not require any camera calibration. It requires only the knowledge of at least 8 reference points defining two planes. We investigate here the sensitivity of the results of this method to the measurement errors in the positions of(More)
  • 1