Search results for "Geometric transformation"

showing 5 items of 5 documents

A stochastic approach for automatic registration and fusion of left atrial electroanatomic maps with 3D CT anatomical images.

2007

The integration of electroanatomic maps with highly resolved computed tomography cardiac images plays an important role in the successful planning of the ablation procedure of arrhythmias. In this paper, we present and validate a fully-automated strategy for the registration and fusion of sparse, atrial endocardial electroanatomic maps (CARTO maps) with detailed left atrial (LA) anatomical reconstructions segmented from a pre-procedural MDCT scan. Registration is accomplished by a parameterized geometric transformation of the CARTO points and by a stochastic search of the best parameter set which minimizes the misalignment between transformed CARTO points and the LA surface. The subsequent …

MaleRadiology Nuclear Medicine and ImagingPhysics and Astronomy (miscellaneous)Computer sciencemedicine.medical_treatmentBiomedical EngineeringComputed tomographySensitivity and SpecificityPattern Recognition AutomatedImaging Three-DimensionalLeft atrialArtificial IntelligenceAtrial FibrillationmedicineHumansComputer visionStochastic Processesmedicine.diagnostic_testRadiological and Ultrasound Technologybusiness.industryGeometric transformationBody Surface Potential MappingReproducibility of ResultsAblationCatheterSubtraction TechniqueFemaleArtificial intelligencebusinessTomography X-Ray ComputedAlgorithmsPhysics in medicine and biology
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Real-time estimation of geometrical transformation between views in distributed smart-cameras systems

2008

In this paper, we present a method to automatically estimate the geometric relations among the different views of cameras with partially overlapping fields of view in a wireless video-surveillance system. The method uses the locations of the detected moving objects visible at the same time in two or more views. The correspondences among objects are found by comparing their appearance models based on dominant colour descriptors while the geometric transformation are computed iteratively and may be used to solve the consistent labelling problem. As a significant part of the processing is performed on the smart cameras, the method has been conceived by taking into account the limited resources…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryGeometric transformationMotion detectiondistributed video surveillanceObject detectionData modelingTransformation (function)Computer visionSmart cameraArtificial intelligenceImage sensorbusinessHomography (computer vision)2008 Second ACM/IEEE International Conference on Distributed Smart Cameras
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A method to reduce the FP/imm number through CC and MLO views comparison in mammographic images

2008

In this paper we propose a method to reduce the FP/imm number through CC and MLO mammographic views comparison of the same patient. The proposed solution uses the symmetry properties of the breast to compute a geometric transformation that permits to represent the two images in comparable coordinates systems. Through this method, potential pathological ROIs of one of the projections are correlated with the ROIs in the second view. To show the effectiveness of the result we apply the method on a dataset composed of 112 couples of pathological images. Experiments shows that method enables a reduction by up to 700/0 of the FP/imm number detected after the classification step

Breast tissueData setbusiness.industryPathological imageGeometric transformationPattern recognitionSymmetry propertiesReduction (complexity)CorrelationMedical imagingMedicineArtificial intelligenceNuclear medicinebusinessGeometric transformationImage resolutionTransformation geometryMammographicMammographic image2008 IEEE Nuclear Science Symposium Conference Record
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Interrogating witnesses for geometric constraint solving

2012

International audience; Classically, geometric constraint solvers use graph-based methods to decompose systems of geometric constraints. These methods have intrinsic limitations, which the witness method overcomes; a witness is a solution of a variant of the system. This paper details the computation of a basis of the vector space of free infinitesimal motions of a typical witness, and explains how to use this basis to interrogate the witness for dependence detection. The paper shows that the witness method detects all kinds of dependences: structural dependences already detectable by graph-based methods, but also non-structural dependences, due to known or unknown geometric theorems, which…

0209 industrial biotechnologyMathematical optimizationGeometric constraintsTheoretical computer science[ INFO.INFO-NA ] Computer Science [cs]/Numerical Analysis [cs.NA]InfinitesimalComputationRigidity (psychology)02 engineering and technologyTheoretical Computer ScienceDependent and independent constraintsGeometric networks020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringConstraint solvingMathematicsGeometric transformationWitness configuration020207 software engineering[INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA]16. Peace & justiceWitnessComputer Science ApplicationsComputational Theory and MathematicsConstraint decompositionGraph (abstract data type)Infinitesimal motionsAlgorithmInformation SystemsVector space
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Irregular motion recovery in fluorescein angiograms

1997

Abstract Fluorescein angiography is a common procedure in ophthalmic practice, mainly to evaluate vascular retinopathies and choroidopathies from sequences of ocular fundus images. In order to compare the images, a reliable overlying is essential. This paper proposes some methods for the recovery of irregular motion in fluorescein angiograms (FA). The overlying is done by a three step procedure: detection of relevant points, matching points from different images and estimation of the assumed linear geometric transformation. A stochastic model (closely related to the general linear model) allows to fuse the second and third steps. Two different estimators of the geometric transformation are …

General linear modelMatching (graph theory)Mean squared errormedicine.diagnostic_testbusiness.industryGeometric transformationEstimatorFluorescein angiographyTransformation (function)Artificial IntelligenceMotion estimationSignal ProcessingmedicineComputer visionComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareMathematicsPattern Recognition Letters
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