Search results for "Homography"

showing 10 items of 12 documents

Homography based egomotion estimation with a common direction

2017

International audience; In this paper, we explore the different minimal solutions for egomotion estimation of a camera based on homography knowing the gravity vector between calibrated images. These solutions depend on the prior knowledge about the reference plane used by the homography. We then demonstrate that the number of matched points can vary from two to three and that a direct closed-form solution or a Gröbner basis based solution can be derived according to this plane. Many experimental results on synthetic and real sequences in indoor and outdoor environments show the efficiency and the robustness of our approach compared to standard methods.

0209 industrial biotechnologyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHomography02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]homography estimationGröbner basis020901 industrial engineering & automationArtificial IntelligenceRobustness (computer science)0202 electrical engineering electronic engineering information engineeringStructure from motion[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionComputingMilieux_MISCELLANEOUSstructure-from-motionMathematicsegomotion estimationPhotogrammetrie und Bildanalysebusiness.industryApplied Mathematics[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Standard methodsReference planeComputational Theory and Mathematics020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareIndex Terms—Computer vision
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Finite linear spaces in which any n-gon is euclidean

1986

Abstract An n-gon of a linear space is a set S of n points no three of which are collinear. By a diagonal point of S we mean a point p off S with the property that at least two lines through p intersect S in two points. The number of diagonal points is called the type of S. For example, a 4-gon has at most three diagonal points. We call an n-gon euclidean if (roughly speaking) it contains the maximal possible number of 4-gons of type 3. In this paper, we characterize all finite linear spaces in which, for a fixed number n ⩾ 5, any n-gon is euclidean. It turns out that these structures are essentially projective spaces or punctured projective spaces.

Discrete mathematicsLinear spaceDiagonalComputer Science::Computational GeometryEuclidean distance matrixTheoretical Computer ScienceCombinatoricsEuclidean geometryHomographyAffine spaceMathematics::Metric GeometryDiscrete Mathematics and CombinatoricsPoint (geometry)Linear separabilityMathematicsDiscrete Mathematics
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A New Method to Measure 3D Textile Defects by Using Dual-lens Camera

2013

International audience; Industrial textile fabric with functionalization always has a high standard requirement. Take polytetrafluoroethylene (PTFE) conveyor belt as an example, the base fabrics must be of first-rate quality, with no weaving faults or broken fibers on coated surface [1]. In a previous work, we have proposed an original method to measure the height of the fiber based on variable homography. This measurement is based on a single camera acquiring two successive frames. This scheme is working well, but measurement depends on conveyor speed used for scrolling fabric. In this paper, we propose an improvement by using a new acquisition device based on two mini-lenses assembled as …

Engineering[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingBase (geometry)Measure (physics)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHomographyConveyor belt[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingStereovisionlaw.invention[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessinglawNonwovenCalibrationComputer visionWeavingGlass fiber fabricbusiness.industryGeneral EngineeringLens (optics)ScrollingTextile defectComputer visionArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingHomography (computer vision)
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Estimating the Best Reference Homography for Planar Mosaics From Videos

2015

This paper proposes a novel strategy to find the best reference homography in mosaics from video sequences. The reference homography globally minimizes the distortions induced on each image frame by the mosaic homography itself. This method is designed for planar mosaics on which a bad choice of the first reference image frame can lead to severe distortions after concatenating several successive homographies. This often happens in the case of underwater mosaics with non-flat seabed and no georeferential information available. Given a video sequence of an almost planar surface, sub-mosaics with low distortions of temporally close image frames are computed and successively merged according to…

Hierarchical mosaicingViewpoint computationSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPlanarComputer graphics (images)Hierarchical Mosaicing Viewpoint Computation Underwater VisionComputer visionArtificial intelligenceUnderwater visionbusinessHomography (computer vision)
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A homography formulation to the 3pt plus a common direction relative pose problem

2014

International audience; In this paper we present an alternative formulation for the minimal solution to the 3pt plus a common direction relative pose prob-lem. Instead of the commonly used epipolar constraint we use the homog-raphy constraint to derive a novel formulation for the 3pt problem. This formulation allows the computation of the normal vector of the plane defined by the three input points without any additional computation in addition to the standard motion parameters of the camera. We show the working of the method on synthetic and real data sets and compare it to the standard 3pt method and the 5pt method for relative pose estima-tion. In addition we analyze the degenerate condi…

Mathematical optimizationPlane (geometry)Epipolar geometryComputation[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO][INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO]Motion (geometry)16. Peace & justiceConstraint (information theory)[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]NormalPoseMathematicsHomography (computer vision)
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DEFINITION ET ETUDE DES PERFORMANCES D'UN DETECTEUR DE STRUCTURES CURVILINEAIRES. APPLICATION A LA STEREOSCOPIE ET LA DETECTION D'OBJETS FILAIRES

2008

The work presented in this paper falls under the domain of matching. In this context, we try to show the interest of using the curvilinear regions in order to enhance the global performance of various matching applications. A brand new detector for curvilinear regions is introduced (CRD), along with the specific curvilinear regions descriptor (CRD) required. Performance evaluations were done in two parts: First, we evaluated and compared the segmentations performances of our detector, in particular on a retina vessels segmentation application. And second, we estimated the matching performances using K. Mykolajczyk toolkit. This methodology helps obtaining intrinsic performances and comparin…

Mise en correspondanceDétecteursDetectorsEstimation d'homographiesDescriptorsHomography estimationDescripteursRégions curvilinéairesSegmentation[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC]Matching[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]Curvilinear regions
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An original method to compute epipoles using variable homography: application to measure emergent fibers on textile fabrics

2012

International audience; Fabric's smoothness is a key factor to determine the quality of finished textile products and has great influence on the functionality of industrial textiles and high-end textile products. With popularization of the 'zero defect' industrial concept, identifying and measuring defective material in the early stage of production is of great interest for the industry. In the current market, many systems are able to achieve automatic monitoring and control of fabric, paper, and nonwoven material during the entire production process, however online measurement of hairiness is still an open topic and highly desirable for industrial applications1. In this paper we propose a …

Optical fiberComputer scienceEpipolar geometry02 engineering and technologylaw.invention[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processinglaw0202 electrical engineering electronic engineering information engineeringCalibrationComputer visionfabric defects/fiberElectrical and Electronic EngineeringSimulationMeasure (data warehouse)Smoothnessbusiness.industryFiber (mathematics)020208 electrical & electronic engineeringVariable homographyAtomic and Molecular Physics and OpticsComputer Science ApplicationsVariable (computer science)3D elevation measurement8. Economic growthepipolar geometry020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingHomography (computer vision)
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Architectural Scenes Reconstruction from Uncalibrated Photos and Map Based Model Knowledge

2001

In this paper we consider the problem of reconstructing architectural scenes from multiple photographs taken from arbitrarily viewpoints. The original contribution of this work is the use of a map as a source of a priori knowledge and geometric constraints in order to obtain in a fast and simple way a detailed model of a scene. We suppose images are uncalibrated and have at least one planar structure as a facade for exploiting the planar homography induced between world plane and image to calculate a first estimation of the projection matrix. Estimations are improved by using correspondences between images and map. We show how these simple constraints can be used to calibrate the cameras, t…

Plane (geometry)business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTriangulation (social science)Triangulation (computer vision)Iterative reconstructionProjection (linear algebra)Image (mathematics)Trifocal tensorSimple (abstract algebra)Computer Science::Computer Vision and Pattern RecognitionHomographyComputer visionArtificial intelligencebusiness
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Invariant Feature Matching for Image Registration Application Based on New Dissimilarity of Spatial Features

2016

An invariant feature matching method is proposed as a spatially invariant feature matching approach. Deformation effects, such as affine and homography, change the local information within the image and can result in ambiguous local information pertaining to image points. New method based on dissimilarity values, which measures the dissimilarity of the features through the path based on Eigenvector properties, is proposed. Evidence shows that existing matching techniques using similarity metrics--such as normalized cross-correlation, squared sum of intensity differences and correlation coefficient--are insufficient for achieving adequate results under different image deformations. Thus, new…

Satellite ImageryComputer scienceComputer Visionlcsh:MedicineTransportation02 engineering and technology01 natural sciencesPattern Recognition Automated0202 electrical engineering electronic engineering information engineeringImage Processing Computer-Assistedlcsh:ScienceMultidisciplinaryApplied MathematicsSimulation and ModelingPhysicsClassical MechanicsDeformationPhysical SciencesEngineering and Technology020201 artificial intelligence & image processingAlgorithmsResearch ArticleNormalization (statistics)Matching (statistics)Computer and Information SciencesSimilarity (geometry)Imaging TechniquesImage registrationResearch and Analysis MethodsImage (mathematics)010309 optics0103 physical sciencesImage Interpretation Computer-AssistedComputer GraphicsComputer ImagingEigenvalues and eigenvectorsDamage Mechanicsbusiness.industrylcsh:RPattern recognitionEigenvaluesBoatsTarget DetectionAlgebraLinear AlgebraSubtraction TechniquePath (graph theory)lcsh:QAffine transformationArtificial intelligencebusinessEigenvectorsMathematicsHomography (computer vision)PLoS ONE
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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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