Search results for "Vanishing point"

showing 8 items of 8 documents

Rotation estimation and vanishing point extraction by omnidirectional vision in urban environment

2012

International audience; Rotation estimation is a fundamental step for various robotic applications such as automatic control of ground/aerial vehicles, motion estimation and 3D reconstruction. However it is now well established that traditional navigation equipments, such as global positioning systems (GPSs) or inertial measurement units (IMUs), suffer from several disadvantages. Hence, some vision-based works have been proposed recently. Whereas interesting results can be obtained, the existing methods have non-negligible limitations such as a difficult feature matching (e.g. repeated textures, blur or illumination changes) and a high computational cost (e.g. analyze in the frequency domai…

0209 industrial biotechnologyAutomatic controlComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyTranslation (geometry)020901 industrial engineering & automationOrthogonalityomnidirectional visionArtificial IntelligenceMotion estimation11. Sustainability0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionElectrical and Electronic EngineeringVanishing pointrotation estimationMathematicsbusiness.industryApplied MathematicsMechanical EngineeringPerspective (graphical)3D reconstruction[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]vanishing pointscatadioptric visionModeling and Simulation020201 artificial intelligence & image processingArtificial intelligencebusinessparallel linesRotation (mathematics)Software
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Globally Optimal Line Clustering and Vanishing Point Estimation in Manhattan World

2012

The projections of world parallel lines in an image intersect at a single point called the vanishing point (VP). VPs are a key ingredient for various vision tasks including rotation estimation and 3D reconstruction. Urban environments generally exhibit some dominant orthogonal VPs. Given a set of lines extracted from a calibrated image, this paper aims to (1) determine the line clustering, i.e. find which line belongs to which VP, and (2) estimate the associated orthogonal VPs. None of the existing methods is fully satisfactory because of the inherent difficulties of the problem, such as the local minima and the chicken-and-egg aspect. In this paper, we present a new algorithm that solves t…

0209 industrial biotechnologyMathematical optimization[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]02 engineering and technologyReal imageParallelMaxima and minima020901 industrial engineering & automationOrthogonalityLine (geometry)0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]020201 artificial intelligence & image processingVanishing pointCluster analysisRotation (mathematics)Mathematics
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Line based motion estimation and reconstruction of piece-wise planar scenes

2011

We present an algorithm for reconstruction of piece-wise planar scenes from only two views and based on minimum line correspondences. We first recover camera rotation by matching vanishing points based on the methods already exist in the literature and then recover the camera translation by searching among a family of hypothesized planes passing through one line. Unlike algorithms based on line segments, the presented algorithm does not require an overlap between two line segments or more that one line correspondence across more than two views to recover the translation and achieves the goal by exploiting photometric constraints of the surface around the line. Experimental results on real i…

Computer sciencebusiness.industryLine segment intersectionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionTranslation (geometry)Real imageLine segmentMotion estimationLine (geometry)Computer visionArtificial intelligenceVanishing pointbusiness2011 IEEE Workshop on Applications of Computer Vision (WACV)
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Short baseline line matching for central imaging systems

2012

We develop a generic line matching method especially applicable to omnidirectional images taken from constructed scenes with short baseline motion where the motion of the imaging system between two views is mainly an arbitrary rotation and the translation of the camera between two views with respect to its distance to the imaged scene is negligible. We start by studying the relationship between images of lines on unitary sphere followed by proposing a simple algorithm for simultaneously matching vanishing points and lines. The developed algorithm is very simple, yet it works on images captured by all types of central imaging systems, including perspective, fish-eye and catadioptric images. …

Matching (graph theory)Computer sciencebusiness.industryPerspective (graphical)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTranslation (geometry)Real imageCatadioptric systemArtificial IntelligenceComputer Science::Computer Vision and Pattern RecognitionSignal ProcessingComputer visionComputer Vision and Pattern RecognitionArtificial intelligenceVanishing pointbusinessRotation (mathematics)SoftwarePattern Recognition Letters
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Affine camera calibration from homographies of parallel planes

2010

This paper deals with the problem of retrieving the affine structure of a scene from two or more images of parallel planes. We propose a new approach that is solely based on plane homographies, calculated from point correspondences, and that does not require the recovery of the 3D structure of the scene. Neither vanishing points nor lines need to be extracted from the images. The case of a moving camera with constant intrinsic parameters and the one of cameras with possibly different parameters are both addressed. Extensive experiments with both synthetic and real images have validated our approach.

Pixelbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionReal imagePlane (Unicode)Computer Science::Computer Vision and Pattern RecognitionPoint (geometry)Computer visionAffine transformationArtificial intelligenceVanishing pointbusinessCamera resectioningMathematics2010 IEEE International Conference on Image Processing
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Dense Geometry of Music and Visual Arts: Vanishing Points, Continuous Tonnetz, and Theremin Performance

2018

The dualism between continuous and discrete is relevant in music theory as well as in performance practice of musical instruments. Geometry has been used since longtime to represent relationships between notes and chords in tonal system. Moreover, in the field of mathematics itself, it has been shown that the continuity of real numbers can arise from geometrical observations and reasoning. Here, we consider a geometrical approach to generalize representations used in music theory introducing continuous pitch. Such a theoretical framework can be applied to instrument playing where continuous pitch can be naturally performed. Geometry and visual representations of concepts of music theory and…

Settore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciSettore INF/01 - Informaticamedia_common.quotation_subject05 social sciencesSettore ING-INF/02 - Campi Elettromagnetici06 humanities and the artsArtSettore MAT/04 - Matematiche ComplementariContinuum and discrete music theory050105 experimental psychology060404 musicComputer graphics (images)0501 psychology and cognitive sciencesVanishing pointTonnetz0604 artsmedia_common
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Two View Line-Based Motion and Structure Estimation for Planar Scenes

2012

We present an algorithm for reconstruction of piece-wise planar scenes from only two views and based on minimum line correspondences. We first recover camera rotation by matching vanishing points based on the methods already exist in the literature and then recover the camera translation by searching among a family of hypothesized planes passing through one line. Unlike algorithms based on line segments, the presented algorithm does not require an overlap between two line segments or more that one line correspon- dence across more than two views to recover the translation and achieves the goal by exploiting photometric constraints of the surface around the line. Experimental results on real…

Surface (mathematics)Computer engineering. Computer hardwareMatching (graph theory)Line correspondenceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyVideo AnalysisTranslation (geometry)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]TK7885-7895Motion[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Line segment0202 electrical engineering electronic engineering information engineeringComputer visionVanishing pointComputingMilieux_MISCELLANEOUSMathematicsTwo viewsbusiness.industryTracking[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringKeywordsQA75.5-76.953D and StereoReal imageElectronic computers. Computer scienceLine (geometry)Piece-wise planar scene020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessStructure and MotionRotation (mathematics)Software
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Motion estimation and reconstruction of piecewise planar scenes from two views

2010

The task of recovering the camera motion relative to the environment (motion estimation) is fundamental to many computer vision applications. We present an algorithm for reconstruction of piece-wise planar scenes from only two views and based on minimum line correspondences. We first recover camera rotation by matching vanishing points based on the methods already exist in the literature and then recover the camera translation by searching among a family of hypothesized planes passing through one line. Unlike algorithms based on line segments, the presented algorithm does not require an overlap between two line segments or more than one line correspondence across more than two views to reco…

business.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionTranslation (geometry)Real imageLine segmentMotion fieldComputer Science::Computer Vision and Pattern RecognitionMotion estimationLine (geometry)Computer visionArtificial intelligenceVanishing pointbusinessMathematics2010 25th International Conference of Image and Vision Computing New Zealand
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