Search results for "artificial intelligence"

showing 10 items of 6122 documents

Automatic multi-seed detection for MR breast image segmentation

2017

In this paper an automatic multi-seed detection method for magnetic resonance (MR) breast image segmentation is presented. The proposed method consists of three steps: (1) pre-processing step to locate three regions of interest (axillary and sternal regions); (2) processing step to detect maximum concavity points for each region of interest; (3) breast image segmentation step. Traditional manual segmentation methods require radiological expertise and they usually are very tiring and time-consuming. The approach is fast because the multi-seed detection is based on geometric properties of the ROI. When the maximum concavity points of the breast regions have been detected, region growing and m…

business.industryComputer scienceComputer Science (all)Pattern recognitionImage segmentationGold standard (test)Breast MR030218 nuclear medicine & medical imagingTheoretical Computer Science03 medical and health sciencesSeed detection0302 clinical medicineRegion of interestRegion growing030220 oncology & carcinogenesisManual segmentationSegmentationSensitivity (control systems)Artificial intelligenceAutomatic segmentationMr imagesbusinessMaximum concavity point
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Breedbot: An Edutainment Robotics System to Link Digital and Real World

2007

The paper describes Breedbot an edutainment software and hardware system that could be used to evolve autonomous agents in digital (software) world and to transfer the evolved minds in physical agents (robots). The system is based on a wide variety of Artificial Life techniques (Artificial Neural Networks, Genetic Algorithms, User Guided Evolutionary Design and Evolutionary Robotics). An user without any computer programming skill can determine the robot behaviour. Breedbot was used as a didactic tool in teaching Evolutionary Biology and as a futuristic toy by several Science Centers. The digital side of Breedbot is downloadable from www.isl.unina.it/breedbot.

business.industryComputer scienceComputer programmingAutonomous agentEvolutionary roboticsRoboticsSoftwareEvolutionary acquisition of neural topologiesHuman–computer interactionArtificial lifeGenetic algorithmRobotArtificial intelligencebusiness
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A Kinect-Based Gesture Acquisition and Reproduction System for Humanoid Robots

2020

The paper illustrates a system that endows an humanoid robot with the capability to mimic the motion of a human user in real time, serving as a basis for further gesture based human-robot interactions. The described approach uses the Microsoft Kinect as a low cost alternative to expensive motion capture devices.

business.industryComputer scienceComputer visionArtificial intelligencebusinessMotion captureHumanoid robotMotion (physics)Gesture
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Directive local color transfer based on dynamic look-up table

2019

Abstract Color transfer in image processing usually suffers from misleading color mapping and loss of details. This paper presents a novel directive local color transfer method based on dynamic look-up table (D-DLT) to solve these problems in two steps. First, a directive mapping between the source and the reference image is established based on the salient detection and the color clusters to obtain directive color transfer intention. Then, dynamic look-up tables are created according to the color clusters to preserve the details, which can suppress pseudo contours and avoid detail loss. Subjective and objective assessments are presented to verify the feasibility and the availability of the…

business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunicationsImage processing02 engineering and technologyVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Annen informasjonsteknologi: 559DirectiveLocal colorSalientTransfer (computing)Signal ProcessingColor mappingLookup table0202 electrical engineering electronic engineering information engineeringTable (database)020201 artificial intelligence & image processingComputer visionComputer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringbusinessSoftwareSignal Processing: Image Communication
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Benchmarking non-photorealistic rendering of portraits

2017

We present a set of images for helping NPR practitioners evaluate their image-based portrait stylisation algorithms. Using a standard set both facilitates comparisons with other methods and helps ensure that presented results are representative. We give two levels of difficulty, each consisting of 20 images selected systematically so as to provide good coverage of several possible portrait characteristics. We applied three existing portrait-specific stylisation algorithms, two general-purpose stylisation algorithms, and one general learning based stylisation algorithm to the first level of the benchmark, corresponding to the type of constrained images that have often been used in portrait-s…

business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineeringImage processing02 engineering and technologyBenchmarkingMachine learningcomputer.software_genreNon-photorealistic renderingImage (mathematics)Set (abstract data type)0202 electrical engineering electronic engineering information engineeringBenchmark (computing)Key (cryptography)020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerAbstraction (linguistics)
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Development of a fast panoramic face mosaicking and recognition system

2005

We present some development results on a system that per- forms mosaicking of panoramic faces. Our objective is to study the fea- sibility of panoramic face construction in real time. To do so, we built a simple acquisition system composed of five standard cameras, which together can take simultaneously five views of a face at different angles. Then, we chose an easily hardware-achievable algorithm, consisting of successive linear transformations, in order to compose a panoramic face from these five views. The method has been tested on a large number of faces. In order to validate our system, we also conducted a preliminary study on panoramic face recognition, based on the principal-compone…

business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGeneral EngineeringImage processingFacial recognition systemAtomic and Molecular Physics and OpticsExpression (mathematics)Computer graphics (images)Face (geometry)Development (differential geometry)Computer visionArtificial intelligencebusinessPanoramic photographyOptical Engineering
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Camera-LiDAR Data Fusion for Autonomous Mooring Operation

2020

Author's accepted manuscript. © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The use of camera and LiDAR sensors to sense the environment has gained increasing popularity in robotics. Individual sensors, such as cameras and LiDARs, fail to meet the growing challenges in complex autonomous systems. One such scenario is autonomous mooring, where the ship has to …

business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPoint cloudRobotics02 engineering and technologySensor fusionMooringGeneralLiterature_MISCELLANEOUSLidarVDP::Teknologi: 500::Maskinfag: 5700202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSegmentationComputer visionArtificial intelligencebusinessPoseCamera resectioning2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA)
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Head Pose Estimation for Sign Language Video

2013

We address the problem of estimating three head pose angles in sign language video using the Pointing04 data set as training data. The proposed model employs facial landmark points and Support Vector Regression learned from the training set to identify yaw and pitch angles independently. A simple geometric approach is used for the roll angle. As a novel development, we propose to use the detected skin tone areas within the face bounding box as additional features for head pose estimation. The accuracy level of the estimators we obtain compares favorably with published results on the same data, but the smaller number of pose angles in our setup may explain some of the observed advantage.

business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSign language3D pose estimationMotion captureData setSupport vector machineMinimum bounding boxFace (geometry)Computer visionArtificial intelligencebusinessPose
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Intelligent eye

2010

This paper describes Intelligent Eye, a mobile phone interactive leisure guide that offers location-based multimedia information. The information offered is related to the user's position, so the main goal of this work is the development of an efficient system to detect where the user is pointing his/her camera at by means of a content-based image retrieval algorithm (CBIR). The CBIR procedure uses color histograms in the HS color space extracted from images, and employs Kullback-Leibler divergence as the similarity measure. Intelligent Eye can be used in a wide range of camera-equipped mobile phones; however, efficiency is improved if GPS data is available. In order to outperform other sys…

business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSimilarity measureColor spaceReal imageUser experience designMobile phoneGlobal Positioning SystemContext awarenessComputer visionArtificial intelligencebusinessImage retrievalProceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
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2D-3D Camera Fusion for Visual Odometry in Outdoor Environments

2014

International audience; Accurate estimation of camera motion is very important for many robotics applications involving SfM and visual SLAM. Such accuracy is attempted by refining the estimated motion through nonlinear optimization. As many modern robots are equipped with both 2D and 3D cameras, it is both highly desirable and challenging to exploit data acquired from both modalities to achieve a better localization. Existing refinement methods, such as Bundle adjustment and loop closing, may be employed only when precise 2D-to-3D correspondences across frames are available. In this paper, we propose a framework for robot localization that benefits from both 2D and 3D information without re…

business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]RoboticsBundle adjustment[ 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]Motion estimationStructure from motionRobotComputer visionArtificial intelligenceVisual odometryProjection (set theory)business
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