Search results for "Correspondence problem"

showing 6 items of 6 documents

Fusion of experimental data

1997

Abstract The integration of information from various sensory systems is one of the most difficult challenges in understanding both perception and cognition. For example, the problem of auditory-visual integration is a correspondence problem between perceived auditory and visual scenes. Two main questions arise when designing data analysis systems: what is the useful information to be integrated?, and what are the integration rules? The problem of integrating information becomes relevant whenever: (a) the same kind of data are detected by spatially distributed sensors; (b) heterogeneous data are detected by different sensors; (c) heterogeneous distributed data are involved. General problems …

Computer sciencePerceptionmedia_common.quotation_subjectExperimental dataAstronomy and AstrophysicsCognitionSatelliteData miningcomputer.software_genreCorrespondence problemcomputermedia_commonInformation integration
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Uncalibrated Reconstruction: An Adaptation to Structured Light Vision

2003

Abstract Euclidean reconstruction from two uncalibrated stereoscopic views is achievable from the knowledge of geometrical constraints about the environment. Unfortunately, these constraints may be quite difficult to obtain. In this paper, we propose an approach based on structured lighting, which has the advantage of providing geometrical constraints independent of the scene geometry. Moreover, the use of structured light provides a unique solution to the tricky correspondence problem present in stereovision. The projection matrices are first computed by using a canonical representation, and a projective reconstruction is performed. Then, several constraints are generated from the image an…

Computer scienceStereoscopy02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]01 natural scienceslaw.invention010309 optics[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Projection (mathematics)Artificial Intelligencelaw0103 physical sciencesEuclidean geometry0202 electrical engineering electronic engineering information engineeringComputer visionCorrespondence problemComputingMilieux_MISCELLANEOUSbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Mobile robot navigationSignal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionAffine transformationArtificial intelligencebusinessSoftwareStructured light
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Efficient correspondence problem-solving in 3-D shape reconstruction using a structured light system

2005

This paper deals with 3-D object reconstruction using a structured light system (SLS). The SLS is composed of a camera and a laser projector that illuminates spots on the scene of interest. The basic problem of such a system is the correspondence problem. If the correct correspondence between the imaged spots and the projected laser rays is found, the 3-D coordinates of the physical points associated with these spots can be calculated. We propose a method that automatically provides SLS configurations (i.e., the relative positions of both camera and laser projector with respect to the object to be analyzed) that allow performing an unambiguous and direct correspondence procedure. Experiment…

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGeneral EngineeringStereoscopyImage segmentationIterative reconstructionLaserAtomic and Molecular Physics and Opticslaw.inventionStructured-light 3D scannerLaser projectorlawComputer visionArtificial intelligencebusinessCorrespondence problemStructured lightOptical Engineering
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Towards a real-time 3D shape reconstruction using a structured light system

2005

This paper deals with 3D shape reconstruction using a structured light system (SLS) which projects a matrix of laser rays onto the scene to be analyzed. The intrinsic problem of such a system is the correspondence problem solving, which in this particular case amounts to matching up the imaged spots and the originating laser rays. In this paper, we propose a method for automatically obtaining configurations of the system (COS) (i.e. the relative positions of the camera, laser projector, and measuring scene) that permit to achieve a direct and unambiguous correspondence. After, we propose a splitting cell algorithm, which efficiently performs a real-time correspondence procedure. Experimenta…

Matching (graph theory)business.industryComputer science3D reconstructionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONLaserlaw.inventionLaser projectorMatrix (mathematics)Artificial IntelligencelawSignal ProcessingComputer visionComputer Vision and Pattern RecognitionArtificial intelligencebusinessShape reconstructionCorrespondence problemSoftwareStructured lightPattern Recognition
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Saying-Doing Correspondence

2002

The study of the correspondence concerns the functional relationships between an individual’s verbal and non-verbal behavior. The analysis of the functional relations between saying and doing is interesting from a theoretical perspective (e.g.: how and when do they relate together? Learning to tell the truth etc.) and from an applied point of view: many clinical procedures, as verbal forms of psychotherapy, are based on the idea that changing people’s verbalizations about their behavior will lead to corresponding changes in the way they behave. Since say-do correspondence training has been employed in a variety of behaviors and types of procedures to examine the conditions upon which the ar…

Nonverbal communicationNonverbal behaviorMatching (statistics)Point (typography)Perspective (graphical)Variety (linguistics)PsychologyCorrespondence problemDifferential reinforcementCognitive psychology
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Object Matching in Distributed Video Surveillance Systems by LDA-Based Appearance Descriptors

2009

Establishing correspondences among object instances is still challenging in multi-camera surveillance systems, especially when the cameras’ fields of view are non-overlapping. Spatiotemporal constraints can help in solving the correspondence problem but still leave a wide margin of uncertainty. One way to reduce this uncertainty is to use ap- pearance information about the moving objects in the site. In this paper we present the preliminary results of a new method that can capture salient appearance characteristics at each camera node in the network. A Latent Dirichlet Allocation (LDA) model is created and maintained at each node in the camera network. Each object is encoded in terms of the…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMatching (statistics)business.industryComputer scienceNode (networking)Video surveillanceObject matchingObject (computer science)Latent Dirichlet allocationsymbols.namesakeSalientMargin (machine learning)symbolsComputer visionArtificial intelligencebusinessCorrespondence problemconsistent labelling
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