Search results for "Computer Vision"

showing 10 items of 2353 documents

In-line Sorting of Processed Fruit Using Computer Vision

2013

Nowadays, there is a growing demand for quality fruits and vegetables that are simple to prepare and consume, like minimally processed fruits. These products have to accomplish some particular characteristics to make them more attractive to the consumers, like a similar appearance and the total absence of external defects. Although recent advances in machine vision have allowed for the automatic inspection of fresh fruit and vegetables, there are no commercially available equipments for sorting of minority processed fruits, like arils of pomegranate (Punica granatum L) or segments of Satsuma mandarin (Citrus unshiu) ready to eat. This work describes a complete solution based on machine visi…

Computer sciencebusiness.industryArilSortingComputer visionArtificial intelligenceLine (text file)business
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Mean sets for building 3D probabilistic liver atlas from perfusion MR images

2012

This paper is concerned with liver atlas construction. One of the most important issues in the framework of computational abdominal anatomy is to define an atlas that provides a priori information for common medical task such as registration and segmentation. Unlike other approaches already proposed so far (to our knowledge), in this paper we propose to use the concept of random compact mean set to build probabilistic liver atlases. To accomplish this task a two-tier process was carried out. First a set of 3D images was manually segmented by a physician. We see the different 3D segmented shapes as a realization of a random compact set. Secondly, elements of two known definitions of mean set…

Computer sciencebusiness.industryAtlas (topology)Probabilistic logicImage registrationPattern recognitionImage segmentationSet (abstract data type)medicine.anatomical_structureAtlas (anatomy)medicineSegmentationComputer visionArtificial intelligencebusinessPerfusion2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA)
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Change-driven Image Architecture on FPGA with adaptive threshold for Optical-Flow Computation

2006

Optical flow computation has been extensively used for object motion estimation in image sequences. However, the results obtained by most optical flow techniques are as accurate as computationally intensive due to the large amount of data involved. A new strategy for image sequence processing has been developed; pixels of the image sequence that significantly change fire the execution of the operations related to the image processing algorithm. The data reduction achieved with this strategy allows a significant optical flow computation speed-up. Furthermore, FPGAs allow the implementation of a custom data-flow architecture specially suited for this strategy. The foundations of the change-dr…

Computer sciencebusiness.industryBinary imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowImage processingImage segmentationMotion estimationDigital image processingComputer visionArtificial intelligencebusinessImage gradientComputer hardwareFeature detection (computer vision)2006 IEEE International Conference on Reconfigurable Computing and FPGA's (ReConFig 2006)
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New systems for extracting 3-D shape information from images

1993

Neural architectures may offer an adequate way to deal with early vision since they are able to learn shape features or classify unknown shapes, generalising the features of a few meaningful examples, with a low computational cost after the training phase. Two different neural approaches are proposed by the authors: the first one consists of a cascaded architecture made up by a first stage named BWE (Boundary Webs Extractor) which is aimed to extract a brightness gradient map from the image, followed by a backpropagation network that estimates the geometric parameters of the object parts present in the perceived scene. The second approach is based on the extraction of the boundary webs map …

Computer sciencebusiness.industryBoundary (topology)Pattern recognitionObject (computer science)BackpropagationExtractorImage (mathematics)SuperquadricsComputer visionArtificial intelligenceD-ShapeBrightness gradientbusiness
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Corrigendum to “Intelligent agents for feature modelling in computer aided design” [J. Comput. Des. Eng. (2018) 19–40]

2018

Computer sciencebusiness.industryComputational Mechanics02 engineering and technologycomputer.software_genreComputer Graphics and Computer-Aided DesignHuman-Computer InteractionComputational MathematicsIntelligent agent020303 mechanical engineering & transports0203 mechanical engineeringFeature (computer vision)Modeling and Simulation0202 electrical engineering electronic engineering information engineeringComputer Aided Design020201 artificial intelligence & image processingArtificial intelligencebusinessEngineering (miscellaneous)computerJournal of Computational Design and Engineering
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Direct 3D Information Determination in an Uncalibrated Stereovision System by Using Evolutionary Algorithms

2011

This paper proposes a 3D panoramic shape reconstruction method based on an uncalibrated stereovision system (USS) composed of five cameras circularly located around the object to be analysed. First, some interesting points are detected from markers placed on the object such that they are visible by two successive cameras of the USS. These points are then matched on both images acquired by a couple of successive cameras. This process is repeated for all the couples of cameras. Second, by using an evolutionary algorithm, the depth values of the different interesting points are calculated. A comparison with a traditional method based on calibrated cameras validates the accuracy of 3D informati…

Computer sciencebusiness.industryComputer graphics (images)3D reconstructionEvolutionary algorithmProcess (computing)Image processingComputer visionArtificial intelligenceShape reconstructionObject (computer science)businessInternational Journal of Computer Vision and Image Processing
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Passive in motion: the Early Italian auxiliary andare (‘to go’)

2014

The Italian construction andare ‘to go’ + (transitive) past participle expresses a passive meaning when occurring in a perfective past tense (1), whereas it conveys an additional deontic sense of (impersonal) obligation when used in an imperfective tense (2) (Bertinetto 1991; Giacalone Ramat 2000). A further constraint on the passive reading is represented by the semantics of the participle, necessarily expressing a negative value of ‘loss/destruction’; this value is moreover conceived as ‘non-intentional’, as the impossibility to express the agent (*da qualcuno) shows: (1) I documenti andarono distrutti. (*da qualcuno) the documents go. prf.3pl destroy.pst.ptcp.pl (by someone) ‘The documen…

Computer sciencebusiness.industryComputer visionArtificial intelligenceAncient Italo-Romance passive constructions agentive phrases grammaticalizationbusinessMotion (physics)Settore L-LIN/01 - Glottologia E Linguistica
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Vision Problems in Sparse Images

1989

Computer sciencebusiness.industryComputer visionArtificial intelligencebusiness
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An Optical Remote Sensor for Fingerprint Identification using Speckle Pattern

2017

The implementation of a simple, inexpensive optical device for remote fingerprint identification is presented. The sensor is based on temporal tracking of back-reflected secondary speckle patterns generated while illuminating a finger with a laser.

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyLaserTracking (particle physics)law.inventionSpeckle pattern020210 optoelectronics & photonicsOptical sensinglaw0202 electrical engineering electronic engineering information engineeringBeam expanderComputer visionArtificial intelligenceSpeckle imagingbusinessLaser beamsRemote sensingConference on Lasers and Electro-Optics
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A combined analysis to extract objects in remote sensing images

1999

Abstract This paper describes an object recognition system to extract shape information from remote sensing images. One of the goals is to determine if towers and power lines can be seen on one-meter imagery and how much ground conditions can influence the resolution power of the recognition algorithms. To this end, an integrated analysis system has been implemented inside the Remote Sensing Imaging System (RSIS). The methodology consists in the combination of statistical and structural information. It has been tested on real images and it will be integrated in an automatic system for the assessment of post storm damage.

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognitionMathematical morphologyReal imagePower (physics)Artificial IntelligenceRemote sensing (archaeology)Signal ProcessingComputer visionComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareRemote sensingPattern Recognition Letters
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