This paper presents a system for matching and pose estimation of 3D space curves under the similarity transformation composed of rotation, translation and uniform scaling. The system makes use of constraints not only on the feature points but also on the curve segment. A representation called the similarity-invariant coordinate system (SICS) is presented for deriving semi-local invariants of 3D...

Web news content extraction is vital to improve news indexing and searching in nowadays search engines, especially for the news searching service. In this paper we study the Web news content extraction problem and propose an automated extraction algorithm for it. Our method is a hybrid one taking the advantage of both sequence matching and tree matching techniques. We propose TSReC, a variant o...

This article describes how spirit a computer program for well test interpretation wti integrates knowledge based techniques for pattern matching and decision modelling Existing conventionalwti computer software assists reservoir engineers by removing some of the more mundane tasks as well as automating some of the manual interpretation techniques However the software generally provides no guida...

Feature extraction is a key issue for 3d model retrieval. A novel architecture to extract the curve-skeleton of 3d model is introduced. The algorithm firstly calculates the 3D vector fields of models represented by discrete unit, and then extracts the hierarchical curve-skeleton based on topological features of the critical curve and critical points of the vector fields. The similarity among 3D...

in this paper various arch models and relevant news impact curves including a partially nonparametric (pnp) one are compared and estimated with daily iran stock return data. diagnostic tests imply the asymmetry of the volatility response to news. the egarch model, which passes all the tests and appears relatively matching with the asymmetry in the data, seems to be the most adequate characteriz...

PURPOSE Developing a computationally efficient automated method for the optimal choice of regularization parameter in diffuse optical tomography. METHODS The least-squares QR (LSQR)-type method that uses Lanczos bidiagonalization is known to be computationally efficient in performing the reconstruction procedure in diffuse optical tomography. The same is effectively deployed via an optimizati...

We propose an algorithm for automated recognition of computationally constructed curves and discuss several aspects of the recognition problem. Recognizing loci means determining a single implicit polynomial equation and geometric invariants, characterizing an algebraic curve which is given by a discrete set of sample points. Starting with these discrete samples arising from a geometric ruler a...

An important step in automatic reassembly of 2D fragments is to find candidate matching pairs for adjacent fragments. In this paper, we propose a new partial curve matching method to find the candidate matches. In this method, the fragment contours are represented by their turning functions. The matching segments between two fragment contours are found by analyzing the difference curve between ...