The VPLF method for vanishing point computation

Abstract A basic problem in computer vision is the extraction of 3D vanishing points (VP) out of 2D perspective projections. VP analysis provides strong cues for inferring the 3D structure of a scene from only a single view. In this work we present a novel method for VP computation based on a likelihood function that characterizes the plausibility of a point as VP. The performance of our method has been tested with a variety of arti®cial and real scenes and has been found very promising.

An exact smoother in a fuzzy jump Markov switching model

International audienceIn this paper, we address the exact smoothing problem of Conditionally Gaussian Observed Markov Switching Model (CGOMSM). The proposed approach tackles the discontinuity feature in switching regime models by incorporating fuzzy switches instead of hard jumps. Fuzzy switched based approach is more adapted to real-world application in which regime continuity is an intrinsic property. We define, with respect to a measure, the local density of the switches and we show how fast smoothing equations should be adapted to cope with the fuzzy model. Finally, we show through several experiments the interest of the fuzzy switches model