How Interval Analysis can be used to solve some problems in Computer Vision, namely autocalibration and triangulation is discussed.
In this paper we discuss how Interval Analysis can be used to s olve some problems in Computer Vision, namely autocalibration and triangulation. The crucial property o f Interval Analysis is its ability to rigorously bound the range of a function over a given domain. This allows to propag ate input errors with guaranteed results (used in multi-views triangulation) and to search for solution in no n-linear minimisation problems with provably correct branch-and-bound algorithms (used in autocalibration). E xperiments with real calibrated images illustrate the interval approach.