Search results for "NDC"

showing 10 items of 1025 documents

On the Objective Evaluation of Motion Cueing in Vehicle Simulations

2021

Motion-based simulators are used for a variety of applications, such as research, education, entertainment and training. In fact, motion cues are required to achieve the highest regulatory certifications in training vehicle simulators. Nonetheless, the reproduction of self-motion cues presents technological and economic limitations that are not present in the generation of audiovisual cues. For this reason, the generated motion does not generally match the expected one. Therefore, it is necessary to define means to assess the suitability/fidelity of the generated motion cues. After more than 50 years of motion-based vehicle simulation, no mechanism has been universally accepted as the stand…

050210 logistics & transportationComputer scienceMechanical Engineeringmedia_common.quotation_subject05 social sciencesWork (physics)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFidelitySolid modelingMotion (physics)Computer Science ApplicationsVariety (cybernetics)VisualizationHuman–computer interactionPerception0502 economics and businessAutomotive EngineeringRobotComputingMethodologies_COMPUTERGRAPHICSmedia_commonIEEE Transactions on Intelligent Transportation Systems
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"Table 24" of "Search for heavy charged long-lived particles in the ATLAS detector in 31.6 fb$^{-1}$ of proton-proton collision data at $\sqrt{s} = 1…

2019

Candidate reconstruction efficiency for ID+Calo selection (IDCaloEff).

13000.0LLPP P --> CHI+ CHI-Proton-Proton ScatteringComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSP P --> GLUINO GLUINOComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSUSYP P --> SQUARK+ SQUARK-P P --> STAU+ STAU-EFFSupersymmetryInformationSystems_MISCELLANEOUS
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"Table 24" of "Search for heavy charged long-lived particles in the ATLAS detector in 31.6 fb$^{-1}$ of proton-proton collision data at $\sqrt{s} = 1…

2019

Candidate reconstruction efficiency for ID+Calo selection (IDCaloEff).

13000.0P P --> CHI+ CHI-Proton-Proton ScatteringLLPComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSP P --> GLUINO GLUINOComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONP P --> SQUARK+ SQUARK-P P --> STAU+ STAU-EFFSUSYSupersymmetryInformationSystems_MISCELLANEOUS
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Real-time Multispectral Image Processing and Registration on 3D Point Cloud for Vineyard Analysis

2021

International audience; Nowadays, precision agriculture and precision viticulture are under strong development. In order to accomplish effective actions, robots require robust perception of the culture and the surrounding environment. Computer vision systems have to identify plant parts (branches, stems, leaves, flowers, fruits, vegetables, etc.) and their respective health status. Moreover, they must merge various plant information, to measure agronomic indices, to classify them and finally to extract data to enable the agriculturist or expert to make a relevant decision. We propose a real-time method to acquire, process and register multispectral images fused to 3D. The sensors system, co…

2. Zero hungerImage Registrationbusiness.industryComputer scienceMultispectral imagePoint cloudProcess (computing)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registration3D Point Cloud[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]15. Life on landAgricultural RoboticsField (computer science)Precision viticulturePrecision ViticultureRobotMultispectral ImagingComputer visionArtificial intelligencePrecision agriculturebusiness
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High Quality Reconstruction of Dynamic Objects using 2D-3D Camera Fusion

2017

International audience; In this paper, we propose a complete pipeline for high quality reconstruction of dynamic objects using 2D-3D camera setup attached to a moving vehicle. Starting from the segmented motion trajectories of individual objects, we compute their precise motion parameters, register multiple sparse point clouds to increase the density, and develop a smooth and textured surface from the dense (but scattered) point cloud. The success of our method relies on the proposed optimization framework for accurate motion estimation between two sparse point clouds. Our formulation for fusing it closest-point and it consensus based motion estimations, respectively in the absence and pres…

2D-3D FusionPoint cloudComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyIterative reconstructionRANSAC[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Vehicle dynamics[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Robustness (computer science)Motion estimationPoint Cloud Registration0502 economics and business[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringComputer visionComputingMethodologies_COMPUTERGRAPHICS050210 logistics & transportationRANSACbusiness.industry05 social sciences3D reconstruction[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringICPGeography[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Artificial intelligencebusiness3D ReconstructionSurface reconstruction
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Multisensory texture exploration at the tip of the pen

2016

A tool for the multisensory stylus-based exploration of virtual textures was used to investigate how different feedback modalities (static or dynamically deformed images, vibration, sound) affect exploratory gestures. To this end, we ran an experiment where participants had to steer a path with the stylus through a curved corridor on the surface of a graphic tablet/display, and we measured steering time, dispersion of trajectories, and applied force. Despite the variety of subjective impressions elicited by the different feedback conditions, we found that only nonvisual feedback induced significant variations in trajectories and an increase in movement time. In a post-experiment, using a pa…

3304Computer scienceRealization (linguistics)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHuman Factors and ErgonomicsMultisensory Textures02 engineering and technologyTexture (music)Multisensory textureEducationEngineering (all)Sonic Interaction DesignSonic interaction design0202 electrical engineering electronic engineering information engineeringComputer visionEngineering(all)Pen-based interaction; Pseudo-haptics; Multisensory textures; Sonic interaction designPseudo-hapticComputingMethodologies_COMPUTERGRAPHICSSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryMovement (music)Work (physics)General Engineering020207 software engineeringMultisensory textures; Pen-based interaction; Pseudo-haptics; Sonic interaction design; Human Factors and Ergonomics; Software; 3304; Engineering (all); Human-Computer Interaction; Hardware and ArchitectureHuman Factors and ErgonomicPseudo-hapticsHuman-Computer InteractionPen-based InteractionHardware and Architecture020201 artificial intelligence & image processingArtificial intelligencebusinessStylusSoftwareGraphics tabletGesture
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SAMSLAM: Simulated Annealing Monocular SLAM

2013

This paper proposes a novel monocular SLAM approach. For a triplet of successive keyframes, the approach inteleaves the registration of the three 3D maps associated to each image pair in the triplet and the refinement of the corresponding poses, by progressively limiting the allowable reprojection error according to a simulated annealing scheme. This approach computes only local overlapping maps of almost constant size, thus avoiding problems of 3D map growth. It does not require global optimization, loop closure and back-correction of the poses.

3D RegistrationSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniRANSACSettore INF/01 - InformaticaComputer scienceDisparityComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONReprojection errorLimitingStructure from MotionPose EstimationLoop closureComputer Science::Computer Vision and Pattern RecognitionSLAMSimulated annealingImage pairMonocular slamSimulated AnnealingConstant (mathematics)Global optimizationAlgorithmVisual SLAMFeature Matching
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Localization of 2D Cameras in a Known Environment Using Direct 2D-3D Registration

2014

International audience; In this paper we propose a robust and direct 2D-to- 3D registration method for localizing 2D cameras in a known 3D environment. Although the 3D environment is known, localizing the cameras remains a challenging problem that is particularly undermined by the unknown 2D-3D correspondences, outliers, scale ambiguities and occlusions. Once the cameras are localized, the Structure-from-Motion reconstruction obtained from image correspondences is refined by means of a constrained nonlinear optimization that benefits from the knowledge of the scene. We also propose a common optimization framework for both localization and refinement steps in which projection errors in one v…

3d registrationbusiness.industry[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionIterative reconstructionImage (mathematics)Nonlinear programmingHistogramOutlier[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionArtificial intelligenceScale (map)Projection (set theory)businessMathematics2014 22nd International Conference on Pattern Recognition
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Color constancy in dermatoscopy with smartphone

2017

The recent spread of cheap dermatoscopes for smartphones can empower patients to acquire images of skin lesions on their own and send them to dermatologists. Since images are acquired by different smartphone cameras under unique illumination conditions, the variability in colors is expected. Therefore, the mobile dermatoscopic systems should be calibrated in order to ensure the color constancy in skin images. In this study, we have tested a dermatoscope DermLite DL1 basic, attached to Samsung Galaxy S4 smartphone. Under the controlled conditions, jpeg images of standard color patches were acquired and a model between an unknown device-dependent RGB and a device independent Lab color space h…

:MEDICINE [Research Subject Categories]Computer scienceDermatoscopesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologysmartphone01 natural sciences0202 electrical engineering electronic engineering information engineeringmedicineComputer visionDermatoscopyColor constancymedicine.diagnostic_testbusiness.industry010401 analytical chemistry020206 networking & telecommunicationscomputer.file_formatJPEGcolor reproduction accuracy0104 chemical sciencesdermatologymedicine.anatomical_structure:NATURAL SCIENCES::Physics::Atomic and molecular physics [Research Subject Categories]Lab color spaceRGB color modelHuman eyetelemedicineArtificial intelligencecolor constancybusinessSkin lesioncomputerBiophotonics—Riga 2017
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A naive approach to compose aerial images in a mosaic fashion

2002

There is growing interest in multiple sequence image analysis to represent those data in a new landscape, for instance reconstruction of old films, mosaicing of images. This paper focuses attention on the mosaic problem; it introduces a naive method to link together images where a common part of the scene is present among two images. An application has been developed to test the method on aerial sequences of images. Given the long distance of aircraft from the scene, the method assumes images without distortions and without problems of prospective. Moreover, the application does not need any additional parameters coming from human experience and for this reason it can be thought of as a ful…

A naive approach to compose aerial images in a mosaic fashionSettore INF/01 - Informaticabusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionImage segmentationApplication softwarecomputer.software_genreData visualizationImage representationRobustness (computer science)Computer visionArtificial intelligencebusinesscomputer
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