Search results for "template matching"

showing 5 items of 5 documents

Ontology-based state representations for intention recognition in human–robot collaborative environments

2013

In this paper, we describe a novel approach for representing state information for the purpose of intention recognition in cooperative human-robot environments. States are represented by a combination of spatial relationships in a Cartesian frame along with cardinal direction information. This approach is applied to a manufacturing kitting operation, where humans and robots are working together to develop kits. Based upon a set of predefined high-level state relationships that must be true for future actions to occur, a robot can use the detailed state information described in this paper to infer the probability of subsequent actions occurring. This would allow the robot to better help the …

Computer sciencebusiness.industryGeneral MathematicsTemplate matchingFrame (networking)Ontology (information science)Human–robot interactionComputer Science ApplicationsTask (project management)Control and Systems EngineeringRobotArtificial intelligenceState (computer science)Set (psychology)businessSoftwareRobotics and Autonomous Systems
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Detecting multiple copies in tampered images

2010

Copy-move forgeries are parts of the image that are duplicated elsewhere into the same image, often after being modified by geometrical transformations. In this paper we present a method to detect these image alterations, using a SIFT-based approach. First we describe a state of the art SIFT-point matching method, which inspired our algorithm, then we compare it with our SIFT-based approach, which consists of three parts: keypoint clustering, cluster matching, and texture analysis. The goal is to find copies of the same object, i.e. clusters of points, rather than points that match. Cluster matching proves to give better results than single point matching, since it returns a complete and co…

Matching (statistics)business.industryImage forensicTemplate matchingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-invariant feature transformPattern recognitionObject (computer science)ClusteringImage (mathematics)Image textureSIFTFalse positive paradoxComputer visionArtificial intelligencebusinessCluster analysisMathematics2010 IEEE International Conference on Image Processing
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Automatic Acoustic Target Detecting and Tracking on the Azimuth Recording Diagram with Image Processing Methods

2019

International audience; Passive acoustic target detection has been a hot research topic for a few decades. Azimuth recording diagram is one of the most promising techniques to estimate the arrival direction of the interested signal by visualizing the sound wave information. However, this method is challenged by the random ambient noise, resulting in low reliability and short effective distance. This paper presents a real-time postprocessing framework for passive acoustic target detection modalities by using a sonar array, in which image processing methods are used to automate the target detecting and tracking on the azimuth recording diagram. The simulation results demonstrate that the prop…

0209 industrial biotechnologytarget detectingComputer scienceprincipal component analysisAmbient noise levelImage processing02 engineering and technologypassive detectionTracking (particle physics)01 natural sciencesBiochemistrySonarSignaldirection of arrivalArticleAnalytical Chemistry[SPI]Engineering Sciences [physics]020901 industrial engineering & automation[CHIM]Chemical SciencesComputer visionElectrical and Electronic EngineeringInstrumentationSound wave0105 earth and related environmental sciencestemplate matching010505 oceanographybusiness.industryTemplate matchingDirection of arrivalAtomic and Molecular Physics and Opticsimage processing[SPI.TRON]Engineering Sciences [physics]/ElectronicsAzimuthArtificial intelligencebusinesstarget tracking
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Real-Time Monocular Pose Estimation of 3D Objects Using Temporally Consistent Local Color Histograms

2017

We present a novel approach to 6DOF pose estimation and segmentation of rigid 3D objects using a single monocular RGB camera based on temporally consistent, local color histograms. We show that this approach outperforms previous methods in cases of cluttered backgrounds, heterogenous objects, and occlusions. The proposed histograms can be used as statistical object descriptors within a template matching strategy for pose recovery after temporary tracking loss e.g. caused by massive occlusion or if the object leaves the camera’s field of view. The descriptors can be trained online within a couple of seconds moving a handheld object in front of a camera. During the training stage, our approac…

MonocularComputer sciencebusiness.industryTemplate matchingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineering02 engineering and technologyImage segmentationData setHistogram0202 electrical engineering electronic engineering information engineeringRGB color model020201 artificial intelligence & image processingComputer visionSegmentationArtificial intelligencebusinessPose2017 IEEE International Conference on Computer Vision (ICCV)
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Metodo di Template Matching per l'Analisi di Immagini

2012

La presente invenzione si riferisce ad un metodo di Template Matching per l’analisi di immagini da ImmunoFluorescenza Indiretta (IFI) per la rivelazione e classificazione automatica di pattern autoanticorpali. L’invenzione qui presentata generalizza il metodo del Template Matching operando innovativamente il mapping del contenuto visuale dell’immagine con particolari funzioni discrete qui denominate “mappatori”; inoltre, utilizzando le informazioni provenienti dalla sovrapposizione dei vari mappatori con un metodo di confronto funzionale, realizza una funzione di correlazione originale. La metodologia descritta nel seguito presenta una flessibilità tale da renderla applicabile a qualsiasi p…

Template Matchingpattern recognitionImmunofluorescenza indirettabioimmaginiSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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