Search results for "InGaN"

showing 10 items of 1214 documents

Non-linear Invertible Representation for Joint Statistical and Perceptual Feature Decorrelation

2000

The aim of many image mappings is representing the signal in a basis of decorrelated features. Two fundamental aspects must be taken into account in the basis selection problem: data distribution and the qualitative meaning of the underlying space. The classical PCA techniques reduce the statistical correlation using the data distribution. However, in applications where human vision has to be taken into account, there are perceptual factors that make the feature space uneven, and additional interaction among the dimensions may arise. In this work a common framework is presented to analyse the perceptual and statistical interactions among the coefficients of any representation. Using a recen…

Computer sciencebusiness.industryFeature vectormedia_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionlaw.inventionLinear mapNonlinear systemInvertible matrixlawPerceptionHuman visual system modelArtificial intelligencebusinessDecorrelationmedia_common
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Optical technique for classification, recognition and identification of obscured objects

2010

Abstract The capability to classify, recognize and to identify objects from spatially low resolution images has high significance in security related applications especially in a case that recognition of camouflaged object is required. In this paper we present a novel approach in which the scenery containing obscured objects which we wish to classify, recognize or identify is illuminated by spatially coherent beam (e.g. laser) and therefore secondary speckles pattern is reflected from the objects. By special image processing algorithm developed for this research and which is basically based upon temporal tracking of the random speckle pattern one may extract the temporal signature of the ob…

Computer sciencebusiness.industryFourier opticsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingObject (computer science)Tracking (particle physics)Atomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsIdentification (information)Speckle patternOpticsPattern recognition (psychology)Electrical and Electronic EngineeringPhysical and Theoretical ChemistrybusinessImage resolutionOptics Communications
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On the advantages of combining differential algorithms and log-polar vision for detection of self-motion from a mobile robot

2001

Abstract This paper describes the design and implementation on programmable hardware (FPGAs) of an algorithm for the detection of self-mobile objects as seen from a mobile robot. In this context, ‘self-mobile’ refers to those objects that change in the image plane due to their own movement, and not to the movement of the camera on board of the mobile robot. The method consists on adapting the original algorithm from Chen and Nandhakumar [A simple scheme for motion boundary detection, in: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1994] by using foveal images obtained with a special camera whose optical axis points towards the direction of advance. It i…

Computer sciencebusiness.industryGeneral MathematicsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONContext (language use)Mobile robotMotion detectionImage planeObject (computer science)Computer Science ApplicationsControl and Systems EngineeringComputer visionArtificial intelligenceDifferential (infinitesimal)businessAlgorithmSoftwareRobotics and Autonomous Systems
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Real-Time Human Pose Estimation from Body-Scanned Point Clouds

2015

International audience; This paper presents a novel approach to estimate the human pose from a body-scanned point cloud. To do so, a predefined skeleton model is first initialized according to both the skeleton base point and its torso limb obtained by Principal Component Analysis (PCA). Then, the body parts are iteratively clustered and the skeleton limb fitting is performed, based on Expectation Maximization (EM). The human pose is given by the location of each skeletal node in the fitted skeleton model. Experimental results show the ability of the method to estimate the human pose from multiple point cloud video sequences representing the external surface of a scanned human body; being r…

Computer sciencebusiness.industryHuman pose estimationPoint cloudComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]TorsoMissing data3D pose estimation[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]medicine.anatomical_structure[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Expectation–maximization algorithmPrincipal component analysismedicineComputer visionPoint (geometry)Artificial intelligencebusinessskeleton modelPoseComputingMethodologies_COMPUTERGRAPHICSpoint cloud
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Line based motion estimation and reconstruction of piece-wise planar scenes

2011

We present an algorithm for reconstruction of piece-wise planar scenes from only two views and based on minimum line correspondences. We first recover camera rotation by matching vanishing points based on the methods already exist in the literature and then recover the camera translation by searching among a family of hypothesized planes passing through one line. Unlike algorithms based on line segments, the presented algorithm does not require an overlap between two line segments or more that one line correspondence across more than two views to recover the translation and achieves the goal by exploiting photometric constraints of the surface around the line. Experimental results on real i…

Computer sciencebusiness.industryLine segment intersectionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionTranslation (geometry)Real imageLine segmentMotion estimationLine (geometry)Computer visionArtificial intelligenceVanishing pointbusiness2011 IEEE Workshop on Applications of Computer Vision (WACV)
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Super-orthogonal space-time trellis codes with differential phase modulation for noncoherent mobile communication systems

2010

In this paper, we show how to design super-orthogonal space-time trellis codes (SOSTTCs) using the differential binary phase-shift keying (PSK) modulation for noncoherent communication systems, for which the knowledge of the channel state information (CSI) at the receiver is not necessary. Moreover, a new decoding algorithm with reduced decoding complexity is proposed. In all simulations, a geometric two-ring channel model is employed to evaluate the performance of the SOSTTCs. The simulation results show that the proposed decoding algorithm has the same decoding performance compared with the traditional decoding strategy, while the new algorithm reduces significantly the overall computing …

Computer sciencebusiness.industryList decodingKeyingData_CODINGANDINFORMATIONTHEORYTrellis (graph)Sequential decodingCoding gainChannel state informationBit error rateTelecommunicationsbusinessAlgorithmDecoding methodsComputer Science::Information TheoryPhase-shift keyingInternational Conference on Communications and Electronics 2010
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Biologically Inspired Vision Architectures: a Software/Hardware Perspective

2007

Even tough the field of computer vision has seen huge improvement in the last few decades, computer vision systems still lack, in most cases, the efficiency of biological vision systems. In fact biological vision systems routinely accomplish complex visual tasks such as object recognition, obstacle avoidance, and target tracking, which continue to challenge artificial systems. The study of biological vision system remains a strong cue for the design of devices exhibiting intelligent behaviour in visually sensed environments but current artificial systems are vastly different from biological ones for various reasons. First of all, biologically inspired vision architectures, which are continu…

Computer sciencebusiness.industryMachine visionFeature vectorComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognitionLight intensityRobustness (computer science)Obstacle avoidanceStructure from motionComputer visionArtificial intelligencebusinessFace detection
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New key based on tilted lenses for optical encryption

2016

A novel concept based on tilted spherical lenses for optical encryption using Lohmann’s type I systems is presented. The tilt angle of the spherical lenses is used as an encrypted key and the decryption performance is studied both qualitatively (visual image degradation) and quantitatively (mean squared error analysis) by numerical simulations. The paper presents a general mathematical framework in virtue of the dioptric power matrix formalism and oblique central refraction used in the optometry field. Computer simulations show that image information cannot be retrieved after a few degrees of tilt on both spherical lenses in the encryption system. In addition, a preliminary experiment is pr…

Computer sciencebusiness.industryMaterials Science (miscellaneous)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEncryption01 natural sciencesGeneralLiterature_MISCELLANEOUSIndustrial and Manufacturing EngineeringOptical encryption010309 optics03 medical and health sciences0302 clinical medicineOpticsComputer Science::Multimedia0103 physical sciences030221 ophthalmology & optometryHybrid cryptosystemBusiness and International ManagementbusinessComputingMethodologies_COMPUTERGRAPHICSComputer Science::Cryptography and SecurityApplied Optics
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A comparative study of best spectral bands selection systems for face recognition

2014

Multispectral images (MI) have shown promising capabilities to solve problems resulting from high illumination variation in face recognition. However, the use of MI, with the huge number of captured spectral bands for each subject, is impractical unless a system for best spectral bands selection (BSBS) is used. In this work, first we give an up to date overview of the existing BSBS techniques proposed for face recognition. We aim to highlight the imporatnce of this component of MI based systems. The reviewed techniques are then experimented using the multispectral face database IRIS - M3 to compare their performances. To the best of our knowledge this is the first study that reviews and com…

Computer sciencebusiness.industryMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingPattern recognitionSpectral bandsFacial recognition systemFace (geometry)Component (UML)Algorithm designArtificial intelligencebusinessSelection (genetic algorithm)2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)
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Uplink DPCCH Gating of Inactive UEs in Continuous Packet Connectivity Mode for HSUPA

2007

In order to further improve the packet performance in the UMTS FDD system, uplink dedicated physical control channel (DPCCH) gating as a scheme is proposed in 3GPP under the work item "continuous connectivity for packet data users". In this paper, the uplink DPCCH gating concept is described and analyzed on both a qualitative and a quantitative level. And the system performance of different gating patterns used in the scheme was investigated by analytical prediction and system level simulations with different channel profiles. As shown, the selection of the gating pattern has a significant influence on the system performance, which is correlated with the uplink data transmission activity an…

Computer sciencebusiness.industryNetwork packetComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSData_CODINGANDINFORMATIONTHEORYGatingDPCCHVoIPTelecommunications linkComputer Science::Networking and Internet ArchitectureElectronic engineeringHSUPAbusinessUMTS frequency bandsComputer Science::Information TheoryCommunication channelPower controlComputer networkData transmission2007 IEEE Wireless Communications and Networking Conference
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