Search results for "Sectioning"

showing 10 items of 43 documents

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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Quasi-spherical focal spot in two-photon scanning microscopy by three-ring apodization

2005

International audience; We present a beam-shaping technique for two-photon excitation (TPE) fluorescence microscopy. We show that by inserting a properly designed three-ring pupil filter in the illumination beam of the microscope, the effective optical sectioning capacity of such a system improves so that the point spread function gets a quasi-spherical shape. Such an improvement, which allows the acquisition of 3D images with isotropic quality, is obtained at the expense of only a small increase of the overall energy in the axial sidelobes. The performance of this technique is illustrated with a scanning TPE microscopy experiment in which the image of small beads is obtained. We demonstrat…

Point spread functionHistologyMaterials scienceMicroscopeOptical sectioning02 engineering and technology01 natural scienceslaw.invention010309 opticsQuality (physics)OpticsTwo-photon excitation microscopyApodizationlaw0103 physical sciencesMicroscopyImage Processing Computer-AssistedInstrumentationtwo-photon excitation[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]business.industry021001 nanoscience & nanotechnologybeam shaping3. Good healthMedical Laboratory TechnologyMicroscopy Fluorescence Multiphotonoptical sectioning effectAnatomy0210 nano-technologybusinessBeam (structure)Algorithms
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Fast multi-directional DSLM for confocal detection without striping artifacts

2020

In recent years light-sheet fluorescence microscopy (LSFM) has become a cornerstone technology for neuroscience, improving the quality and capabilities of 3D imaging. By selectively illuminating a single plane, it provides intrinsic optical sectioning and fast image recording, while minimizing out of focus fluorescence background, sample photo-damage and photo-bleaching. However, images acquired with LSFM are often affected by light absorption or scattering effects, leading to un-even illumination and striping artifacts. In this work we present an optical solution to this problem, via fast multi-directional illumination of the sample, based on an acousto-optical deflector (AOD). We demonstr…

Point spread functionMaterials scienceOptical sectioningImage qualitymedia_common.quotation_subjectConfocalconfocal detection01 natural sciencesLight scatteringArticlelaw.invention010309 optics03 medical and health sciences0302 clinical medicineOpticslaw0103 physical sciencesFluorescence microscopeContrast (vision)media_common030304 developmental biology0303 health sciencesbusiness.industryLaserSample (graphics)Atomic and Molecular Physics and Opticsstriping artifactsdigital scanned laser light-sheet fluorescence microscopy (DSLM)light sheet stripingFocus (optics)business030217 neurology & neurosurgeryBiotechnology
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Light Sheet Fluorescence Microscopy (LSFM) for Two-Photon Excitation Imaging of Thick Samples.

2015

Over the last decades, fluorescence microscopy techniques have been developed in order to provide a deeper, faster and higher resolution imaging of three-dimensional biological samples. Within this framework, Light Sheet Fluorescence Microscopy (LSFM) became an increasingly useful and popular imaging technique able to answer several biological questions in the field of developmental biology [1]. Thanks to the spatial confinement of the excitation process within a thin sheet in the focal plane, it provides an intrinsic optical sectioning and a reduced phototoxicity. On the other side, Two-Photon Excitation (2PE), thanks to the use of IR wavelengths, has become an invaluable tool to improve i…

Point spread functionOptical sectioningbusiness.industryChemistryResolution (electron density)BiophysicsCardinal pointOpticsTwo-photon excitation microscopyLight sheet fluorescence microscopyMicroscopybusinessLight Sheet microscopyImage resolution
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Self-calibration of a PTZ Camera Using New LMI Constraints

2013

In this paper, we propose a very reliable and flexible method for self-calibrating rotating and zooming cameras - generally referred to as PTZ (Pan-Tilt-Zoom) cameras. The proposed method employs a Linear Matrix Inequality (LMI) resolution approach and allows extra tunable constraints on the intrinsic parameters to be taken into account during the process of estimating these parameters. Furthermore, the considered constraints are simultaneously enforced in all views rather than in a single reference view. The results of our experiments show that the proposed approach allows for significant improvement in terms of accuracy and robustness when compared against state of the art methods.

Reference viewComputer scienceRobustness (computer science)Control theoryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPrincipal pointLinear matrix inequalityZoomCamera resectioning
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Axial superresolution by synthetic aperture generation

2008

The use of tilted illumination onto the input object in combination with time multiplexing is a useful technique to overcome the Abbe diffraction limit in imaging systems. It is based on the generation of an expanded synthetic aperture that improves the cutoff frequency (and thus the resolution limit) of the imaging system. In this paper we present an experimental validation of the fact that the generation of a synthetic aperture improves not only the lateral resolution but also the axial one. Thus, it is possible to achieve higher optical sectioning of three-dimensional (3D) objects than that defined by the theoretical resolution limit imposed by diffraction. Experimental results are provi…

Synthetic aperture radarDiffractionMaterials scienceMicroscopeOptical sectioningbusiness.industryResolution (electron density)Atomic and Molecular Physics and Opticslaw.inventionNumerical apertureLens (optics)OpticslawDigital holographic microscopybusinessJournal of Optics A: Pure and Applied Optics
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Fuzzy Integral Imaging Camera Calibration for Real Scale 3D Reconstructions

2014

In this paper, we present a quantitative analysis of the error in the reconstruction of a 3D scene which has been captured with Synthetic Aperture Integral Imaging system. The 3D information is obtained from 2D images for which the camera parameters are unknown. The model used for calibrating the Integral Imaging camera setup is based on fuzzy systems. These systems provide the opportunity for modeling of conditions which are inherently imprecisely defined. We demonstrate that the error in the 3D reconstruction not only depends on the number of cameras, but also to their relative positions. Our model is applied to a set of images captured experimentally from a real object. A true-color real…

Synthetic aperture radarIntegral imagingbusiness.industryComputer science3D reconstructionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFuzzy control systemIterative reconstructionCondensed Matter PhysicsFuzzy logicElectronic Optical and Magnetic MaterialsCamera auto-calibrationComputer Science::Computer Vision and Pattern RecognitionComputer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessCamera resectioningJournal of Display Technology
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Experimental validation of a customized phase mask designed to enable efficient computational optical sectioning microscopy through wavefront encodin…

2017

In this paper, wavefront-encoded (WFE) computational optical sectioning microscopy (COSM) using a fabricated square cubic (SQUBIC) phase mask, designed to render the system less sensitive to depth-induced aberration, is investigated. The WFE-COSM system is characterized by a point spread function (PSF) that does not vary as rapidly with imaging depth compared to the conventional system. Thus, in WFE-COSM, image restoration from large volumes can be achieved using computationally efficient space-invariant (SI) algorithms, thereby avoiding the use of depth-variant algorithms. The fabricated SQUBIC phase mask was first evaluated and found to have a 75% fidelity compared to the theoretical desi…

WavefrontPoint spread functionMicroscopeMaterials scienceOptical sectioningImage qualitybusiness.industryMaterials Science (miscellaneous)Experimental data02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesIndustrial and Manufacturing Engineeringlaw.invention010309 opticsOpticslaw0103 physical sciencesMicroscopyBusiness and International Management0210 nano-technologybusinessImage restorationApplied optics
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Multispectral Imaging using a Stereo Camera: Concept, Design and Assessment

2011

This paper proposes a one-shot six-channel multispectral color image acquisition system using a stereo camera and a pair of optical filters. The two filters from the best pair selected from among readily available filters such that they modify the sensitivities of the two cameras in such a way that they produce optimal estimation of spectral reflectance and/or color are placed in front of the two lenses of the stereo camera. The two images acquired from the stereo camera are then registered for pixel-to-pixel correspondence. The spectral reflectance and/or color at each pixel on the scene are estimated from the corresponding camera outputs in the two images. Both simulations and experiments…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer scienceMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONlcsh:TK7800-836002 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural scienceslcsh:Telecommunicationlaw.inventionMultispectral pattern recognitionstereo camera010309 optics[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessinglawCamera auto-calibrationlcsh:TK5101-67200103 physical sciences0202 electrical engineering electronic engineering information engineeringmultispectral imagingComputer visionreflectance estimationPixelColor imagebusiness.industrylcsh:ElectronicsReflectivityLens (optics)020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing:Mathematics and natural science: 400::Information and communication science: 420::Simulation visualization signal processing image processing: 429 [VDP]Stereo cameraComputer stereo visionCamera resectioning
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Detecting motion independent of the camera movement through a log-polar differential approach

1997

This paper is concerned with a differential motion detection technique in log-polar coordinates which allows object motion tracking independently of the camera ego-motion when camera focus is along the movement direction. The method does not use any explicit estimation of the motion field, which can be calculated afterwards at the moving points. The method, previously formulated in Cartesian coordinates, uses the log-polar coordinates, which allows the isolation of the object movement from the image displacement due to certain camera motions. Experimental results on a sequence of real images are included, in which a moving object is detected and optical flow is calculated in log-polar coord…

business.industryCamera matrixComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowImage processingReal imageGeneralized coordinatesMatch movingMotion fieldCamera auto-calibrationMotion estimationPinhole camera modelComputer visionArtificial intelligenceImage sensorbusinessFocus (optics)Camera resectioning
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