Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
This paper presents a novel extension of Hidden Markov Models (HMMs): type-2 fuzzy HMMs (type-2 FHMMs). The advantage of this extension is that it can handle both randomness and f...
Abstract. In this paper, a computational model of a successful negotiated communication system is presented, in which language agents develop their own meanings in response to thei...
An algorithm is presented for 3-D reconstruction from optical flow observed by an uncalibrated camera. We show that by incorporating a statistical model of image noise, we can not...
This paper proposes a new registration algorithm, Covariance Driven Correspondences (CDC), that depends fundamentally on the estimation of uncertainty in point correspondences. Th...