In this paper we study the video sensor. We also illustrate the use of the confidence intervals for the rejection of unreliable 3D points. 1 Introduction 1. In this paper we discuss errors in 3 D reconstructions from stereo induced by sensor noise. Such errors we call intrinsic.
Any undesired feature causing discrepancies in the digital image is considered noise.
How does the component perform in the presence of small perturbations on all data values How does the component perform as this type of noise varies throughout its range, e.g. does performance degrade smoothly or catastrophically Several aspects of this type of noise can vary. State all models that exist for this type of noise. Performance characterization in computer vision , Proceedings of the 3rd British Machine Vision Conference. The development of criteria for judging performance is a useful tool for the setting of parameters as well as comparing algorithms. Thus , there are two types of evaluation that can be considered.