Search results for "ndc"

showing 10 items of 1025 documents

Morphological Analysis of Binary Scene in APR Integrated Environment

2009

This paper describes principles of binary scene [1] morphological analysis in script based application - APR (Analysis, Processing and Recognition). The aim of the method is to find object on the scene and then to describe theirs basic features like edges, neighbors and surface [2]. The algorithm construction gives benefits in terms speed as well as to computation costs, at the same time being capable of presenting number of attributes values for scene and each of the objects. There are also some practical algorithm applications showed.

Surface (mathematics)Computer sciencebusiness.industryComputationMorphological analysisComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPractical algorithmBinary numberComputer visionArtificial intelligenceObject (computer science)business
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Registration of moving surfaces by means of one-shot laser projection

2005

The acquisition of three-dimensional models of a given surface is a very interesting subject in computer vision. Most of techniques are based on the use of laser range finders coupled to a mechanical system that scans the surface. These techniques lacks of accuracy in the presence of vibrations or non-controlled surface motion because of the misalignments between the acquired images. In this paper, we propose a new one-shot pattern which benefits from the use of registration techniques to recover a whole surface in the presence of non-controlled motion.

Surface (mathematics)Computer sciencebusiness.industryLaser projectionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMotion (geometry)Image processingLaserlaw.inventionlawPattern recognition (psychology)Computer visionArtificial intelligencebusinessComputingMethodologies_COMPUTERGRAPHICS
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Curvilinear constraints for free form deformations on subdivision surfaces

2010

This paper presents a method to deform a subdivision surface with curvilinear constraints. It combines an intuitive free form deformation with a Loop subdivision algorithm. The main advantage of this method of deformation is that it uses only vertices of an object and satisfies the geometrical constraints provided by the user. It permits us to control the final shape of the deformed object, defining the range (i.e. the impact) of the deformation before applying it. The deformation takes into account the Loop properties to follow the subdivision scheme, allowing the user to fix some curvilinear constraints at the subdivision level he works on and to render the final object at the level he wa…

Surface (mathematics)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020101 civil engineering02 engineering and technologyDeformation (meteorology)Topology[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]0201 civil engineeringModelling and Simulation0202 electrical engineering electronic engineering information engineeringSubdivision surfaceComputingMilieux_MISCELLANEOUSComputingMethodologies_COMPUTERGRAPHICSMathematicsSubdivisionCurvilinear coordinatesbusiness.industry020207 software engineering[ INFO.INFO-GR ] Computer Science [cs]/Graphics [cs.GR]Object (computer science)[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Computer Science ApplicationsRange (mathematics)Modeling and Simulation[ INFO.INFO-CG ] Computer Science [cs]/Computational Geometry [cs.CG]Free-form deformationbusinessMathematical and Computer Modelling
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Vectorized ‘‘TOPO’’ Program for the Theoretical Simulation of Molecular Shape

1991

The TOPO program for theoretical simulation of molecular shape is presented here. Molecular shape is characterized by a set of electrostatic and geometrical descriptors and topological indices including the fractal dimension of the accessible surface. An atom-atom analysis of all descriptors has been implemented. The program has been adapted for the realization of high-performance computing. Results are reported for porphine and phthalocyanine molecules.

Surface (mathematics)PhysicsMolecular modelbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONElectrostaticsBiochemistryFractal dimensionSet (abstract data type)FractalArtificial intelligenceBiological systembusinessRealization (systems)Topology (chemistry)ComputingMethodologies_COMPUTERGRAPHICSAIP Conference Proceedings
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Biologically Inspired Model for Inference of 3D Shape from Texture.

2015

A biologically inspired model architecture for inferring 3D shape from texture is proposed. The model is hierarchically organized into modules roughly corresponding to visual cortical areas in the ventral stream. Initial orientation selective filtering decomposes the input into low-level orientation and spatial frequency representations. Grouping of spatially anisotropic orientation responses builds sketch-like representations of surface shape. Gradients in orientation fields and subsequent integration infers local surface geometry and globally consistent 3D depth. From the distributions in orientation responses summed in frequency, an estimate of the tilt and slant of the local surface can…

Surface (mathematics)PhysiologyVisual SystemVisionComputer scienceSensory PhysiologySocial Scienceslcsh:Medicine0302 clinical medicineAnimal CellsMedicine and Health SciencesPsychologylcsh:ScienceVisual CortexNeuronsMultidisciplinaryOrientation (computer vision)Physics05 social sciencesBrainCondensed Matter PhysicsSensory SystemsSignal FilteringPhysical SciencesVisual PerceptionEngineering and TechnologySensory PerceptionAnatomyCellular TypesAlgorithmsResearch ArticleSurface PropertiesMaterials ScienceMaterial PropertiesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGeometryModels BiologicalTexture (geology)050105 experimental psychology03 medical and health sciencesHumansVisual Pathways0501 psychology and cognitive sciencesRepresentation (mathematics)ComputingMethodologies_COMPUTERGRAPHICSCurvaturebusiness.industrylcsh:RBiology and Life SciencesPattern recognitionCell BiologyObject (computer science)Form PerceptionCellular NeuroscienceSignal ProcessingAnisotropylcsh:QArtificial intelligencebusinessMathematics030217 neurology & neurosurgeryNeurosciencePLoS ONE
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Particle Filtering for Tracking in 360 Degrees Videos Using Virtual PTZ Cameras

2019

360 degrees cameras are devices able to record spherical images of the environment. Such images can be used to generate views of the scene by projecting the spherical surface onto planes tangent to the sphere. Each of these views can be considered as the output of a virtual PTZ (vPTZ) camera with specific pan, tilt and zoom parameters. This paper proposes to formulate the visual tracking problem as the one of selecting, at each time, the vPTZ camera to foveate on the target from the unlimited set of simultaneously generated vPTZ camera views. Assuming that the selected vPTZ camera is a stochastic variable, the paper proposes to model the posterior distribution of the underlying stochastic p…

Surface (mathematics)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTangentParticle Filter020206 networking & telecommunications02 engineering and technologyTracking (particle physics)Tilt (optics)Computer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineering360 degrees camera020201 artificial intelligence & image processingComputer visionArtificial intelligenceZoomParticle filterbusinessComputer Science::DatabasesComputingMethodologies_COMPUTERGRAPHICSPTZ Trackingequirectangular
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Multiresolution Analysis for Irregular Meshes

2003

International audience; The concept of multiresolution analysis applied to irregular meshes has become more and more important. Previous contributions proposed a variety of methods using simplification and/or subdivision algorithms to build a mesh pyramid. In this paper, we propose a multiresolution analysis framework for irregular meshes with attributes. Our framework is based on simplification and subdivision algorithms to build a mesh pyramid. We introduce a surface relaxation operator that allows to build a non-uniform subdivision for a low computational cost. Furthermore, we generalize the relaxationoperator to attributes such as color, texture, temperature, etc. The attribute analysis…

Surface (mathematics)Theoretical computer scienceMultiresolution analysisNoise reductionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]02 engineering and technology[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]01 natural sciencesmultiresolution analysisIrregular mesh010309 opticsOperator (computer programming)[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0103 physical sciences0202 electrical engineering electronic engineering information engineeringPolygon meshPyramid (image processing)SubdivisionMathematicsComputingMethodologies_COMPUTERGRAPHICSbusiness.industrysurface attributes[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringsurface relaxation[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Computer Science::Graphics[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG]Computer Science::Computer Vision and Pattern RecognitionRelaxation (approximation)businessAlgorithm
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Entire reflective object surface structure understanding based on reflection motion estimation

2015

An sub-segmentation method for the reflective surface structure understanding.The use of reflection motion features as spatiotemporal coherence for video segmentation.Straightforward implementation.A building block for object recognition. The presence of reflection on a surface has been a long-standing problem for object recognition since it brings negative effects on object's color, texture and structural information. Because of that, it is not a trivial task to recognize the surface structure affected by the reflection, especially when the object is entirely reflective. Most of the cases, reflection is considered as noise. In this paper, we propose a novel method for entire reflective obj…

Surface (mathematics)business.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognitionObject (computer science)Artificial IntelligenceMotion estimationSignal ProcessingComputer visionComputer Vision and Pattern RecognitionNoise (video)Specular reflectionArtificial intelligenceReflection (computer graphics)businessSoftwareComputingMethodologies_COMPUTERGRAPHICSCoherence (physics)MathematicsPattern Recognition Letters
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Evaluation of the orientation distribution of fibers from reflection images of fibrous samples

2014

We consider illumination systems and mathematical algorithms for determination of the anisotropy and topographical features of an illuminated surface from its reflection images. As a particular example we study determination of the fiber orientation of paper surface. We also consider illumination systems with multiple light sources, and introduce optimization algorithms that exploit different spectral bands of these light sources. We show that a system of three light sources, e.g., a blue, green and red LED placed in a regular triangular form, efficiently prevents distortion of the above features. It is also easy to implement in applications, e.g., of the paper industry. We furthermore show…

Surface (mathematics)ta114Orientation (computer vision)business.industryComputer scienceFiber orientationeducationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSpectral bandsCondensed Matter Physics114 Physical sciencesElectronic Optical and Magnetic MaterialsDistribution (mathematics)OpticsDistortionReflection (physics)PAPERAnisotropybusinessInstrumentationComputingMethodologies_COMPUTERGRAPHICS
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Combining Defocus and Photoconsistency for Depth Map Estimation in 3D Integral Imaging

2017

This paper presents the application of a depth estimation method for scenes acquired using a Synthetic Aperture Integral Imaging (SAII) technique. SAII is an autostereoscopic technique consisting of an array of cameras that acquires images from different perspectives. The depth estimation method combines a defocus and a correspondence measure. This approach obtains consistent results and shows noticeable improvement in the depth estimation as compared to a minimum variance minimisation strategy, also tested in our scenes. Further improvements are obtained for both methods when they are fed into a regularisation approach that takes into account the depth in the spatial neighbourhood of a pix…

Synthetic aperture radarIntegral imagingPixelComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineering02 engineering and technology01 natural sciences010309 opticsMinimum-variance unbiased estimatorDepth mapComputer Science::Computer Vision and Pattern RecognitionAutostereoscopy0103 physical sciences0202 electrical engineering electronic engineering information engineeringComputer visionArtificial intelligencebusiness
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