Search results for "Face detection"

showing 10 items of 25 documents

Automatic image representation for content-based access to personal photo album

2007

The proposed work exploits methods and techniques for automatic characterization of images for content-based access to personal photo libraries. Several techniques, even if not reliable enough to address the general problem of content-based image retrieval, have been proven quite robust in a limited domain such as the one of personal photo album. In particular, starting from the observation that most personal photos depict a usually small number of people in a relatively small number of different contexts (e.g. Beach, Public Garden, Indoor, Nature, Snow, City, etc...) we propose the use of automatic techniques borrowed from the fields of computer vision and pattern recognition to index imag…

Exploitbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONContext (language use)Term (time)Domain (software engineering)Index (publishing)Pattern recognition (psychology)Computer visionArtificial intelligenceFace detectionbusinessImage retrieval
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Automatic landmark detection and 3D Face data extraction

2017

Abstract This paper contributes to 3D facial synthesis by presenting a novel method for parameterization using Landmark Point detection. The approach presented aims at improving facial recognition even in varying facial expressions, and missing data in 3D facial models. As such, the prime objective was to develop an automatically embedded process that can detect any frontal face in 3D face recognition systems, with face segmentation and surface curvature information. Using the hybrid interpolation method, experiments on facial landmarks were performed on 4950 images from Face Recognition Grand Challenge database (FRGC). Distinctive facial landmarks from the nose–tips, Limits mouth and two e…

Face hallucinationGeneral Computer ScienceComputer sciencebusiness.industry05 social sciencesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION050301 educationIterative closest pointPattern recognition02 engineering and technologyLandmark pointFace Recognition Grand ChallengeFacial recognition systemTheoretical Computer SciencePoint distribution modelModeling and Simulation0202 electrical engineering electronic engineering information engineeringThree-dimensional face recognition020201 artificial intelligence & image processingComputer visionArtificial intelligenceFace detectionbusiness0503 educationJournal of Computational Science
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Probabilistic Corner Detection for Facial Feature Extraction

2009

After more than 35 years of resarch, face processing is considered nowadays as one of the most important application of image analysis. It can be considered as a collection of problems (i.e., face detection, normalization, recognition and so on) each of which can be treated separately. Some face detection and face recognition techniques have reached a certain level of maturity, however facial feature extraction still represents the bottleneck of the entire process. In this paper we present a novel facial feature extraction approach that could be used for normalizing Viola-Jones detected faces and let them be recognized by an appearance-based face recognition method. For each observed featur…

Face hallucinationbusiness.industryComputer scienceFeature extractionCorner detectionNormalization (image processing)Pattern recognitionFace detection - face recognition - features extraction - CBIRFacial recognition systemObject-class detectionThree-dimensional face recognitionComputer visionArtificial intelligenceFace detectionbusiness
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A simple and efficient face detection algorithm for video database applications

2000

The objective of this work is to provide a simple and yet efficient tool to detect human faces in video sequences. This information can be very useful for many applications such as video indexing and video browsing. In particular the paper focuses on the significant improvements made to our face detection algorithm presented by Albiol, Bouman and Delp (see IEEE Int. Conference on Image Processing, Kobe, Japan, 1999). Specifically, a novel approach to retrieve skin-like homogeneous regions is presented, which is later used to retrieve face images. Good results have been obtained for a large variety of video sequences. Peer Reviewed

Image segmentationObject detectionbusiness.industryComputer scienceImage processingImage segmentation:Enginyeria de la telecomunicació [Àrees temàtiques de la UPC]Object detectionTelecomunicacióImage sequencesDatabase indexingVideo trackingTelecommunicationVideo databasesVideo browsingComputer visionArtificial intelligenceImage retrievalFace detectionbusinessImage retrievalProceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)
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Real-Time Temporal Superpixels for Unsupervised Remote Photoplethysmography

2018

International audience; Segmentation is a critical step for many computer vision applications. Among them, the remote photoplethys-mography technique is significantly impacted by the quality of region of interest segmentation. With the heart-rate estimation accuracy, the processing time is obviously a key issue for real-time monitoring. Recent face detection algorithms can perform real-time processing, however for unsupervised algorithms, i.e. without any subject detection based on supervised learning, existing methods are not able to achieve real-time on regular platform. In this paper, we propose a new method to perform real-time un-supervised remote photoplethysmograhy based on efficient…

Iterative methodComputer sciencebusiness.industry[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing0206 medical engineeringSupervised learning[INFO.INFO-IM] Computer Science [cs]/Medical Imaging[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognition02 engineering and technologyImage segmentationFrame rate020601 biomedical engineering[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingRegion of interest0202 electrical engineering electronic engineering information engineering[INFO.INFO-IM]Computer Science [cs]/Medical ImagingRGB color model020201 artificial intelligence & image processingSegmentationArtificial intelligenceFace detectionbusiness
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Optimized Parallel Implementation of Face Detection based on GPU component

2015

Display Omitted An algorithm for face detection has been implemented on CPU.An acceleration of this algorithm on GPU migration.Performance of GPU implementation shows the effectiveness of this implementation.Another optimization method on GPU are operated. Face detection is an important aspect for various domains such as: biometrics, video surveillance and human computer interaction. Generally a generic face processing system includes a face detection, or recognition step, as well as tracking and rendering phase. In this paper, we develop a real-time and robust face detection implementation based on GPU component. Face detection is performed by adapting the Viola and Jones algorithm. We hav…

Parallel computingBiometricsComputer Networks and CommunicationsComputer science02 engineering and technologyParallel computing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingFace detectionRendering (computer graphics)CUDACUDA optimizationArtificial Intelligence0202 electrical engineering electronic engineering information engineeringGraphics processorsAdaBoost[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsGraphicsWaldBoostFace detectionComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingViola and Jones algorithmAdaBoostGrid020202 computer hardware & architectureShared memoryHardware and Architecture020201 artificial intelligence & image processing[INFO.INFO-ES]Computer Science [cs]/Embedded Systems[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSoftware
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Comparative Study of Face and Person Detection algorithms: Case Study of tramway in Lyon

2019

Moving object detection is one of the most important and challenging task in video surveillance and computer vision applications. Applying it in an industrial context requires taking into account parameters that are not necessarily considered in a theoretical context. We present here a brief review of numerous face and object detection algorithms and techniques that could be applied in our crowded application context. The chosen solution was embedded into the tramway.

Person detectionComputer scienceFace (geometry)Feature extractionContext (language use)Face detectionFacial recognition systemAlgorithmObject detectionTask (project management)2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
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Mean shift clustering for personal photo album organization

2008

In this paper we propose a probabilistic approach for the automatic organization of pictures in personal photo album. Images are analyzed in term of faces and low-level visual features of the background. The description of the background is based on RGB color histogram and on Gabor filter energy accounting for texture information. The face descriptor is obtained by projection of detected and rectified faces on a common low dimensional eigenspace. Vectors representing faces and background are clustered in an unsupervised fashion exploiting a mean shift clustering technique. We observed that, given the peculiarity of the domain of personal photo libraries where most of the pictures contain fa…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionFacial recognition systemVisualizationComputingMethodologies_PATTERNRECOGNITIONGabor filterImage textureCBIR image analysis image clusteringHistogramRGB color modelComputer visionMean-shiftArtificial intelligencebusinessFace detectionMathematics
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An affordable contactless security system access for restricted area

2016

International audience; We present in this paper a security system based on identity verification process and a low-cost smart camera , intended to avoid unauthorized access to restricted area. The Le2i laboratory has a longstanding experience in smart cameras implementation and design [1], for example in the case of real-time classical face detection [2] or human fall detection [3]. The principle of the system, fully thought and designed in our laboratory, is as follows: the allowed user presents a RFID card to the reader based on Odalid system [4]. The card ID, time and date of authorized access are checked using connection to an online server. In the same time, multi-modality identity ve…

Support Vector MachineReal-time Image ProcessingBiometricsSmart CameraFace VerificationEigenFacesFace Detection[INFO.INFO-ES]Computer Science [cs]/Embedded Systems[ INFO.INFO-ES ] Computer Science [cs]/Embedded Systems[INFO.INFO-ES] Computer Science [cs]/Embedded Systems
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A Parallel Face Detection System Implemented on FPGA

2007

In this paper, we introduce a methodology for designing a system for face detection and its implementation on FPGA. The chosen face detection method is the well-known convolutional face finder (CFF) algorithm, which consists in a pipeline of convolutions and subsampling operations. Our goal is to define a parallel architecture able to process efficiently this algorithm. We present a dataflow based architecture algorithm adequation (AAA) methodology implemented using the SynDEx software, in order to find the best compromise between the processing power and functionality requirement of each processor element (PE), and the efficiency of algorithm parallelization. We describe a first implementa…

VirtexSoftwarebusiness.industryDataflowComputer sciencePipeline (computing)Embedded systemFace detectionbusinessField-programmable gate arrayFacial recognition system2007 IEEE International Symposium on Circuits and Systems
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