0000000000358750

AUTHOR

José Martínez Sotoca

showing 7 related works from this author

Geometric Properties of the 3D Spine Curve

2003

Through a 3D reconstruction of the human back surface using structured light techniques, we study the properties of spine curve by means of a set of parameters related to measures commonly applied in medicine. In this way, descriptors for measuring the abnormalities in the projections of the front and sagittal planes can be computed. We build the spine curve in 3D and analyse the behaviour of the Frenet frame when along the curve the deformation processes in idiophatic scoliosis appear.

Surface (mathematics)Computer scienceFrenet–Serret formulas3D reconstructionGeometryImage processingScoliosisIterative reconstructionmedicine.diseaseSagittal planeHuman backmedicine.anatomical_structuremedicineStructured light
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Determination of the object surface function by structured light: application to the study of spinal deformities.

1999

The projection of structured light is a technique frequently used to determine the surface shape of an object. In this paper, a new procedure is described that efficiently resolves the correspondence between the knots of the projected grid and those obtained on the object when the projection is made. The method is based on the use of three images of the projected grid. In two of them the grid is projected over a flat surface placed, respectively, before and behind the object; both images are used for calibration. In the third image the grid is projected over the object. It is not reliant on accurate determination of the camera and projector pair relative to the grid and object. Once the met…

Surface (mathematics)LightComputer scienceClassification of discontinuitiesSpinal Curvatureslaw.inventionOpticslawReference ValuesPhotographyHumansRadiology Nuclear Medicine and imagingComputer visionProjection (set theory)Radiological and Ultrasound Technologybusiness.industryPhantoms ImagingObject (computer science)GridSpineProjectorScoliosisCalibrationArtificial intelligenceSymmetry (geometry)businessStructured lightPhysics in medicine and biology
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Fundamentals of automated human gesture recognition using 3D integral imaging: a tutorial

2020

Automated human gesture recognition is receiving significant research interest, with applications ranging from novel acquisition techniques to algorithms, data processing, and classification methodologies. This tutorial presents an overview of the fundamental components and basics of the current 3D optical image acquisition technologies for gesture recognition, including the most promising algorithms. Experimental results illustrate some examples of 3D integral imaging, which are compared to conventional 2D optical imaging. Examples of classifying human gestures under normal and degraded conditions, such as low illumination and the presence of partial occlusions, are provided. This tutorial…

Integral imagingData processingbusiness.industryComputer scienceImage qualityComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONautomated human gesture recognitionRangingImage processing02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesAtomic and Molecular Physics and Optics010309 opticsoptical imagingStatistical classification3D integral imagingGesture recognition0103 physical sciencesComputer visionArtificial intelligence0210 nano-technologybusinessGestureAdvances in Optics and Photonics
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Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product Composites

2020

The increasing availability of remote sensing data raises important challenges in terms of operational data provision and spatial coverage for conducting global studies and analyses. In this regard, existing multitemporal mosaicing techniques are generally limited to producing spectral image composites without considering the particular features of higher-level biophysical and other derived products, such as those provided by the Sentinel-3 (S3) and Fluorescence Explorer (FLEX) tandem missions. To relieve these limitations, this article proposes a novel multitemporal mosaicing algorithm specially designed for operational S3-derived products and also studies its applicability within the FLEX…

Atmospheric ScienceSource code010504 meteorology & atmospheric sciencesComputer scienceproduct compositesmedia_common.quotation_subjectGeophysics. Cosmic physics0211 other engineering and technologiesContext (language use)Automatic processing02 engineering and technology01 natural sciencesmosaicingConsistency (database systems)Data acquisitionFLEXProduct (category theory)sentinel-3 (S3Computers in Earth SciencesComposite materialFluorescence explorer (FLEX)fluorescence explorer (FLEX)TC1501-1800Sentinel-3 (S3)021101 geological & geomatics engineering0105 earth and related environmental sciencesmedia_commonQC801-809openaccess dataOcean engineeringCompositingtime seriesopen-access dataIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Multidimensional Optical Sensing and Imaging Systems (MOSIS): From Macro to Micro Scales

2017

Multidimensional optical imaging systems for information processing and visualization technologies have numerous applications in fields such as manufacturing, medical sciences, entertainment, robotics, surveillance, and defense. Among different three-dimensional (3-D) imaging methods, integral imaging is a promising multiperspective sensing and display technique. Compared with other 3-D imaging techniques, integral imaging can capture a scene using an incoherent light source and generate real 3-D images for observation without any special viewing devices. This review paper describes passive multidimensional imaging systems combined with different integral imaging configurations. One example…

medicine.medical_specialtyIntegral imagingbusiness.industryMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImaging spectrometerImage registrationImage sensorsOptical imagingSpectral imagingGeographyFull spectral imagingOptical sensorsmedicineThree-dimensional displaysComputer visionArtificial intelligenceImaging scienceElectrical and Electronic EngineeringImage sensorbusinessVisualization
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Multidimensional Integral Imaging for Sensing, Visualization, and Recognition in Degraded Environments

2019

An overview of multidimensional integral imaging for sensing, visualization, and recognition in degraded environments is presented. Applications include 3D visualization, photon starved imaging, material inspection, IR imaging, passive depth estimation, automated human gesture recognition, and long-range imaging.

Integral imagingPhotonThree dimensional imagingbusiness.industryGesture recognitionComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputer visionArtificial intelligencebusinessPhoton countingVisualizationImaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)
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Multidimensional Integral Imaging and Recognition in Degraded Environments

2018

We present an overview of our work on multidimensional integral imaging systems. Integral-imaging-based multidimensional optical sensing and imaging will be described for 3-D visualization, seeing through obscurations, material inspection, augmented reality, biomedical applications, and object recognition from microscales to long-range imaging.

Integral imagingbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognitionPhoton countingVisualizationThree dimensional imagingOptical sensingMedical imagingAugmented realityComputer visionArtificial intelligencebusinessLatin America Optics and Photonics Conference
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