In the last decade, ensemble-based methods have been widely investigated and applied for data assimilation of flow problems associated with atmospheric physics and petroleum reservoir history matching. This paper focuses entirely on the reservoir history-matching problem. Among the ensemble-based methods, the ensemble Kalman filter (EnKF) is the most popular for history-matching applications. H...

This paper centres on the problem of estimating the location of features in the environment within a map building framework for a mobile robot with a single camera. Most of the existing approaches to feature location from vision data have been developed by a combination of matching and geometric triangulation. Triangulation is used to obtain equations of reconstruction or structure-frommotion. ...

Spatial firing fields (place fields) of rat hippocampal cells undergo changes when the rat runs stereotyped routes. Previously, Mehta et al. [Experience-dependent asymmetric shape of hippocampal receptive fields, Neuron 25 (2000) 700–715] indicated that spike timingdependent plasticity (STDP) might explain the observed shift of the place field center of mass and the development of skewness. In ...

The optical sensor is composed of two eyesafe parallel laser beams operating at two different wavelengths (see Figure 1). When a vehicle passes in front of the sensor, the laser light is diffused on the surface of the vehicle. The diffused light is then focused on two photodetectors, one for each laser. We thus obtain two signals, x(t) and yet), which represent the fluctuations in time of the i...

We propose an image matching method using triplet vector descriptor. The triplet vector descriptor consists of two different types of affine invariants: the gray level profile between two feature points and the two covariance matrices of those points. In order to establish point matches, we first vote the similarities of the triplet vector descriptors into candidate matches, and then, we verify...

This paper describes a novel registration approach that is based on a combination of visual and 3D range information. To identify correspondences, local visual features obtained from images of a standard color camera are compared and the depth of matching features (and their position covariance) is determined from the range measurements of a 3D laser scanner. The matched depth-interpolated imag...

This paper discusses issues for matching point features in structure from motion, i.e., pose estimation and 3D reconstruction. As our building block are image triplets for which matches can be checked also geometrically, we discuss the issues for triplets based on partial or final results of a complete system for structure from motion. Particularly, we analyze and try to give answers to the fol...

This paper addresses the problem of appearance matching across disjoint camera views. Signi cant appearance changes, caused by variations in view angle, illumination and object pose, make the problem challenging. We propose to formulate the appearance matching problem as the task of learning a model that selects the most descriptive features for a speci c class of objects. Learning is performed...