A fully automated reconstruction of the trajectory of image sequences using point correspondences is turning into a routine practice. However, there are cases in which point features are hardly detectable, cannot be localized in a stable distribution, and consequently lead to an insufficient pose estimation. This paper presents a triplet-wise scheme for calibrated relative pose estimation from ...

We address dimensionality estimation and nonlinear manifold inference starting from point inputs in high dimensional spaces using tensor voting. The proposed method operates locally in neighborhoods and does not involve any global computations. It is based on information propagation among neighboring points implemented as a voting process. Unlike other local approaches for manifold learning, th...

Fingerprint recognition is a commonly used biometric feature. This feature is used to authenticate a person’s identity. Orientation field estimation techniques are used to measure the orientation of a fingerprint. Reference point detection is used to deal with the issues of rotation and displacement. In this paper, different techniques of orientation field estimation and reference point detecti...

Infiltration is one of the most important hydraulic parameters affecting surface irrigation and one ofthe most difficult parameters in practical field determinations. The infiltration equations are used todescribe water flow hydraulics and surface irrigation systems design. But determination of theparameters in these equations are costly and time consuming. Therefore, some estimating methods ar...

In this paper, a new state and parameter estimation method is introduced based on the particle filter (PF) and the smooth variable structure filter (SVSF). The PF is a popular estimation method, which makes use of distributed point masses to form an approximation of the probability distribution function (PDF). The SVSF is a relatively new estimation strategy based on sliding mode concepts, form...