This article investigates a new method of motion estimation based on block matching criterion through the modeling of image blocks by a mixture of two and three Gaussian distributions. Mixture parameters (weights, means vectors, and covariance matrices) are estimated by the Expectation Maximization algorithm (EM) which maximizes the log-likelihood criterion. The similarity between a block in th...

Variation-source identification has received considerable attention from the manufacturing quality improvement community. One widely used method is based on a pattern matching procedure, which identifies process faults by comparing the fault symptom, which is the principal eigenvector of the covariance matrix of the quality measurement, with fault signatures. The presence of unstructured noise ...

Over ten years ago, Lu and Milios presented a probabilistic scan matching algorithm for solving the simultaneous localization and mapping (SLAM) problem with 2D laser range scans, a standard in robotics. This paper presents an extension to this GraphSLAM method. Our iterative algorithm uses a sparse network to represent the relations between several overlapping 3D scans, computes in every step ...

This paper addresses the weighted orthogonal Procrustes problem of matching stochastically perturbed point clouds, formulated as an optimization problem with a closed-form solution. A novel uncertainty characterization of the solution of this problem is proposed resorting to perturbation theory concepts, which admits arbitrary transformations between point clouds and individual covariance and c...

This paper proposes a novel color prior to reduce outlier keypoints for feature-based 3D head tracking. It is more effective than existing approaches for two reasons. First, the color information of a keypoint is represented by a powerful covariance descriptor (RGB Sigma Set). Second, the color prior is modeled from the posteriors of a discriminative classifier based on Random Projection trees....

This paper introduces an accurate and high speed pose tracking method for mobile robots based on matching of extracted features from consecutive scans. The feature extraction algorithm proposed in this paper uses a global information of the whole scan data and local information around feature points. Uncertainty of each feature is represented using covariance matrices determined due to observat...

Variation source identification is a critical step in the quality and productivity improvement of manufacturing processes and draws significant attention recently. In this article we present a robust pattern-matching technique for variation source identification. In this paper, a multiple variation sources identification technique is developed by adopting the linear relationship between variati...

language is a system and every system has rules that govern the structure of its vocabulary. the rules of the arabic language are based on the vowels that consistent with the meanings used in the context represent the words' position. there are some basic rules in addition to vowels which are mostly seen in the written texts. one of these rules is the matching rule that refers to the condi...