Search results for "COLOR"

showing 10 items of 2721 documents

Visual Marker Guided Point Cloud Registration in a Large Multi-Sensor Industrial Robot Cell

2018

This paper presents a benchmark and accuracy analysis of 3D sensor calibration in a large industrial robot cell. The sensors used were the Kinect v2 which contains both an RGB and an IR camera measuring depth based on the time-of-flight principle. The approach taken was based on a novel procedure combining Aruco visual markers, methods using region of interest and iterative closest point. The calibration of sensors is performed pairwise, exploiting the fact that time-of-flight sensors can have some overlap in the generated point cloud data. For a volume measuring 10m × 14m × 5m a typical accuracy of the generated point cloud data of 5–10cm was achieved using six sensor nodes.

Computer sciencebusiness.industry010401 analytical chemistryPoint cloudIterative closest pointCloud computing02 engineering and technology01 natural sciences0104 chemical sciencesVisualizationlaw.inventionIndustrial robotlaw0202 electrical engineering electronic engineering information engineeringBenchmark (computing)CalibrationRGB color model020201 artificial intelligence & image processingComputer visionArtificial intelligencebusiness2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)
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Farbkodierte Volumen-Rekonstruktionen zur dreidimensionalen Darstellung von CT-Daten

2008

PURPOSE To evaluate a technique of colored three-dimensional reconstructions without segmentation. MATERIAL AND METHODS Color-coded volume rendered images were reconstructed from the volume data of 25 thoracic, abdominal, musculoskeletal, and vascular helical CT scans using commercial software. The CT volume rendered voxels were encoded with color in the following manner. Opacity, hue, lightness, and chroma were assigned to each of four classes defined by CT number. Color-coded reconstructions were compared to the corresponding grey-scale coded reconstructions. RESULTS Color coded volume rendering enabled realistic visualisation of pathologic findings when there was sufficient difference in…

Computer sciencebusiness.industryColor imageVolume renderingIterative reconstructioncomputer.software_genreHelical ctVoxelCt numberRadiology Nuclear Medicine and imagingSegmentationNuclear medicinebusinesscomputerHueRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
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Robust Hand Gestures Recognition Using a Deep CNN and Thermal Images

2021

Medical systems and assistive technologies, human-computer interaction, human-robot interaction, industrial automation, virtual environment control, sign language translation, crisis and disaster management, entertainment and computer games, and so on all use RGB cameras for hand gesture recognition. However, their performance is limited especially in low-light conditions. In this paper, we propose a robust hand gesture recognition system based on high-resolution thermal imaging that is light-independent. A dataset of 14,400 thermal hand gestures is constructed, separated into two color tones. We also propose using a deep CNN to classify high-resolution hand gestures accurately. The propose…

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSign languagecomputer.software_genreAutomationVirtual machineGesture recognitionBenchmark (computing)RGB color modelComputer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessInstrumentationcomputerEdge computingGestureIEEE Sensors Journal
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Efficient Skin Detection under Severe Illumination Changes and Shadows

2011

International audience; This paper presents an efficient method for human skin color detection with a mobile platform. The proposed method is based on modeling the skin distribution in a log-chromaticity color space which shows good invariance properties to changing illumination. The method is easy to implement and can cope with the requirements of real-world tasks such as illumination variations, shadows and moving camera. Extensive experiments show the good performance of the proposed method and its robustness against abrupt changes of illumination and shadows.

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineering02 engineering and technologyFace detectionColor spaceInvariance to illumination[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Robustness (computer science)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligenceLog-chromaticity color spaceColor detectionbusinessFace detectionSkin detectionComputingMethodologies_COMPUTERGRAPHICS
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Three-domain image representation for personal photo album management

2010

In this paper we present a novel approach for personal photo album management. Pictures are analyzed and described in three representation spaces, namely, faces, background and time of capture. Faces are automatically detected and rectified using a probabilistic feature extraction technique. Face representation is then produced by computing PCA (Principal Component Analysis). Backgrounds are represented with low-level visual features based on RGB histogram and Gabor filter bank. Temporal data is obtained through the extraction of EXIF (Exchangeable image file format) data. Each image in the collection is then automatically organized using a mean-shift clustering technique. While many system…

Computer sciencebusiness.industryFeature extractionCBIR - Content Based Image Retrieval automatic image annotation personal photo album managementComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingcomputer.file_formatGabor filterAutomatic image annotationHistogramFace (geometry)RGB color modelComputer visionArtificial intelligenceImage file formatsImage sensorCluster analysisbusinesscomputer
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Bag of words representation and SVM classifier for timber knots detection on color images

2015

Knots as well as their density have a huge impact on the mechanical properties of wood boards. This paper addresses the issue of their automatic detection. An image processing pipeline which associates low level processing (contrast enhancement, thresholding, mathematical morphology) with bag-of-words approach is developed. We propose a SVM classification based on features obtained by SURF descriptors on RGB images, followed by a dictionary created using the bag-of-words approach. Our method was tested on color images from two different datasets with a total number of 640 knots. The mean recall (true positive) rate achieved was (92%) and (97%) for a single dictionary (built only on samples …

Computer sciencebusiness.industryFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingPattern recognitionMathematical morphologyThresholdingSupport vector machineComputingMethodologies_PATTERNRECOGNITIONBag-of-words modelHistogramRGB color modelComputer visionArtificial intelligencebusiness2015 14th IAPR International Conference on Machine Vision Applications (MVA)
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Towards single snapshot multispectral skin assessment

2012

Skin assessment technology based on comparative analysis of single-pixel RGB signal values at poly-chromatic illumination has been proposed. Multi-spectral imaging information from a single snapshot RGB image data set with the inter-channel crosstalk correction can be extracted this way. Proof-of-concept evaluations and measurement results are presented and discussed. Potential of bi-chromatic illumination for skin hemoglobin mapping during arterial occlusion test has been demonstrated.

Computer sciencebusiness.industryMultispectral imageSnapshot (computer storage)RGB color modelComputer visionArtificial intelligencebusinessSPIE Proceedings
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Color illusions also deceive CNNs for low-level vision tasks: Analysis and implications.

2019

The study of visual illusions has proven to be a very useful approach in vision science. In this work we start by showing that, while convolutional neural networks (CNNs) trained for low-level visual tasks in natural images may be deceived by brightness and color illusions, some network illusions can be inconsistent with the perception of humans. Next, we analyze where these similarities and differences may come from. On one hand, the proposed linear eigenanalysis explains the overall similarities: in simple CNNs trained for tasks like denoising or deblurring, the linear version of the network has center-surround receptive fields, and global transfer functions are very similar to the human …

Computer sciencemedia_common.quotation_subjectIllusionColor spaceConvolutional neural network050105 experimental psychology03 medical and health sciences0302 clinical medicinePerceptionHumans0501 psychology and cognitive sciencesVision Ocularmedia_commonArtificial neural networkbusiness.industryOptical illusion05 social sciencesIllusionsSensory SystemsOphthalmologyVision scienceHuman visual system modelArtificial intelligenceNeural Networks Computerbusiness030217 neurology & neurosurgeryVision research
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Searches for neutral Higgs bosons in e+e− collisions at centre-of-mass energies from 192 to 202 GeV

2000

Searches for neutral Higgs bosons are performed with the 237 pb-1 of data collected in 1999 by the ALEPH detector at LEP, for centre-of-mass energies between 191.6 and 201.6 GeV. These searches apply to Higgs bosons within the context of the Standard Model and its minimal supersymmetric extension (MSSM) as well as to invisibly decaying Higgs bosons. No evidence of a signal is seen. A lower limit on the mass of the Standard Model Higgs boson of 107.7 GeV/c2 at 95% confidence level is set. In the MSSM, lower limits of 91.2 and 91.6 GeV/c2 are derived for the masses of the neutral Higgs bosons h and A, respectively. For a Higgs boson decaying invisibly and produced with the Standard Model cros…

Condensed Matter::Quantum GasesPhysicsNuclear and High Energy PhysicsAlephParticle physics010308 nuclear & particles physicsElectron–positron annihilationHigh Energy Physics::PhenomenologyFOS: Physical sciencesTechnicolorContext (language use)Supersymmetry01 natural sciencesHigh Energy Physics - ExperimentStandard ModelNuclear physicsHigh Energy Physics - Experiment (hep-ex)0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Higgs bosonHigh Energy Physics::Experiment010306 general physicsParticle Physics - ExperimentBosonPhysics Letters B
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Search for Higgs bosons of the minimal supersymmetric standard model in pp¯ collisions at s=1.96 TeV

2012

We report results from searches for neutral Higgs bosons produced in p-pbar collisions recorded by the Dzero experiment at the Fermilab Tevatron Collider. We study the production of inclusive neutral Higgs boson in the tautau final state and in association with a b quark in the btautau and bbb final states. These results are combined to improve the sensitivity to the production of neutral Higgs bosons in the context of the minimal supersymmetric standard model (MSSM). The data are found to be consistent with expectation from background processes. Upper limits on MSSM Higgs boson production are set for Higgs boson masses ranging from 90 to 300 GeV. We exclude tanBeta>20-30 for Higgs boson ma…

Condensed Matter::Quantum GasesPhysicsNuclear and High Energy PhysicsParticle physics010308 nuclear & particles physicsHigh Energy Physics::LatticeHigh Energy Physics::PhenomenologyElementary particleTechnicolor01 natural sciences7. Clean energyBottom quarkStandard ModelNuclear physicssymbols.namesake0103 physical sciencessymbolsHiggs bosonHigh Energy Physics::Experiment010306 general physicsHiggs mechanismMinimal Supersymmetric Standard ModelBosonPhysics Letters B
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