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Integration of 2D and 3D images for enhanced face authentication

Integration of 2D and 3D images for enhanced face authentica...

引用

International Conference on Automatic Face and Gesture Recognition

作者： F. Tsalakanidou S. Malassiotis M.G. Strintzis Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece Informatics and Telematics Institute Centre for Research and Technology Hellas Thessaloniki Greece

This work presents a complete face authentication system integrating 2D intensity and 3D range data, based on a low-cost, real-time structured light sensor. Novel algorithms are proposed that exploit depth data to achieve robust face detection, localization and authentication under conditions of background clutter, occlusion, face pose alteration and harsh illumination. The well known embedded hidden Markov model technique for face authentication is applied to depth maps. A method for the enrichment of face databases with synthetically generated views depicting various head poses and illumination conditions is proposed. The performance of the proposed system is tested on an extensive face database of 3,000 images. Experimental results demonstrate significant gains resulting from the combined use of depth and intensity.

关键词： Authentication Face detection Lighting Image databases Real time systems Sensor systems Robustness Hidden Markov models Head System testing

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Exploitation of 3D images for face authentication under pose and illumination variations

Exploitation of 3D images for face authentication under pose...

引用

International Symposium on 3D Data processing Visualization and Transmission

作者： F. Tsalakanidou S. Malassiotis M.G. Strintzis Informatics and Telematics Institute Centre for Research and Technology Hellas Thessaloniki Greece Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

An appearance-based face authentication system integrating 2D color or intensity images and 3D data is presented. The proposed system is based on a low-cost 3D and color sensor, capable of synchronous real-time acquisition of 3D images and associated color images. Novel algorithms are proposed that exploit depth information and prior knowledge of face geometry and symmetry to achieve robust face detection, localization and authentication under conditions of background clutter, occlusion, face pose alteration and harsh illumination. A method for the enrichment of face databases with synthetically generated views depicting variations in pose and illumination is proposed to cope with head rotations and illumination variations, avoiding a cumbersome enrolment process. The performance of the proposed authentication scheme is tested thoroughly on a face database of 1500 images, recorded with the 3D acquisition system. Experimental results demonstrate significant gains resulting from the combined use of depth and color or intensity information, in comparison to the use of 2D images alone.

关键词： Authentication Lighting Face detection Image databases Image sensors Sensor systems Real time systems Color Information geometry Robustness

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Power spectral density estimation and tracking of nonstationary pressure signals based on Kalman filtering

Power spectral density estimation and tracking of nonstation...

引用

Conference Proceedings - 26th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2004

作者： Aboy, M. McNames, J. Márquez, Óscar W. Hornero, R. Thong, T. Goldstein, B. Biomed. Signal Processing Laboratory Electrical and Computer Engineering Portland State University Portland United States Signal Theory Dept. ETSI-Telecomunicación University of Vigo Spain Signal Theory Dept. ETSI-Telecomunicación University of Valladolid Spain Biomedical Engineering Department Oregon Health and Science University Portland United States Pediatrics Department Oregon Health and Science University Portland United States

We describe an algorithm to estimate and track slow changes in power spectral density (PSD) of nonstationary pressure signals. The algorithm is based on a Kalman filter that adaptively generates an estimate of the autoregressive model parameters at each time instant. The algorithm exhibits superior PSD tracking performance in nonstationary pressure signals than classical nonparametric methodologies, and does not assume a piecewise stationary model of the data. Furthermore, it provides better time-frequency resolution, and is robust to model mismatches. We demonstrate its usefulness by a sample application involving PSD estimation and tracking of short records of simulated pressure waveforms. This algorithm is intended for applications were the PSD must be estimated and tacked during short transient periods, possibly after clinical interventions.

关键词： Signal processing

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Silicon-germanium saturable absorber mirrors

Silicon-germanium saturable absorber mirrors

引用

IEEE Photonics Conference (IPC)

作者： F.J. Grawert S. Akiyama J.T. Gopinath F.O. Ilday J. Liu H. Shen K. Wada L.C. Kimerling E.P. Ippen F.X. Kaertner Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge MA USA Department of Materials Science and Engineering and Material Processing Center Massachusetts Institute of Technology Cambridge MA USA

A silicon-germanium ultra-broadband saturable Bragg reflector with sub-picosecond recovery time is fabricated. Its performance is demonstrated by mode-locking an Er-Yb glass laser generating 220 fs pulses spanning the... 详细信息

关键词： Germanium silicon alloys Silicon germanium Mirrors Optical pulse generation Absorption Laser mode locking Ultrafast optics Optical scattering Pulse measurements Laser feedback

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Clustering-based framework for comparing fMRI analysis methods

Clustering-based framework for comparing fMRI analysis metho...

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IEEE International Symposium on Biomedical Imaging

作者： G.-A. Hossein-Zadeh A.-M. Golestani H. Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Health System Detroit MI USA

In this paper, a cluster-based framework is introduced for comparing analysis methods of functional magnetic resonance images (fMRI). In the proposed framework, fMRI data is replaced with a feature space and each method considered as a clustering method in the new space. As a result, different methods can be compared by means of a cluster validity measure. The feature space is computed using a non-parametric method (principal component analysis-PCA). Four subjects have been analyzed with three methods and the proposed cluster-based framework has evaluated performance of the methods. The results are identical to those of the modified receiver operating characteristics (ROC). This validates the proposed approach.

关键词： Clustering algorithms Algorithm design and analysis Image analysis Clustering methods Magnetic analysis Testing Accuracy Reproducibility of results Radiology Magnetic resonance

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Multiresolution automatic segmentation of T1-weighted brain MR images

Multiresolution automatic segmentation of T1-weighted brain ...

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IEEE International Symposium on Biomedical Imaging

作者： M. Zeydabadi R.A. Zoroofi H. Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran Radiology Department Henry Ford Health System Image Analysis and Communications Laboratory Detroit MI USA

Automatic segmentation of brain tissues is crucial to many medical imaging applications. We use a multi-resolution analysis and a power transform to extend the well-known Gaussian mixture model expectation maximization based algorithm for segmentation of white matter, gray matter, and cerebrospinal fluid from T1-weighted magnetic resonance images (MRI) of the brain. Experimental results with near 4000 synthetic and real images are included. The results illustrate that the proposed method outperforms six existing methods.

关键词： Image resolution Image segmentation Biomedical imaging Multiresolution analysis Image analysis Magnetic analysis Algorithm design and analysis Brain modeling Magnetic liquids Magnetic resonance

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MRSI brain tumor characterization using wavelet and wavelet packets feature spaces and artificial neural networks

MRSI brain tumor characterization using wavelet and wavelet ...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： A. Yazdan-Shahmorad H. Soltanian-Zadeh R.A. Zoroofi Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran Radiology Department Henry Ford Health System Image Analysis and Communications Laboratory Detroit MI USA

Magnetic resonance spectroscopic imaging (MRSI) is a non-invasive technique for assessing biochemical fingerprint of tissue composition. The need to differentiate between normal and abnormal tissues and determine type of abnormality before biopsy or surgery motivated development and application of MRSI. There are several technical reasons that make the brain easier than other organs to be examined with MRSI. This work presents our proposed methods and results for the analysis of the brain spectra of patients with three tumor types (malignant glioma, astrocytoma, and oligodendroglioma). After extracting features from MRSI data using wavelet and wavelet packets, we use artificial neural networks to determine the abnormal spectra and the type of abnormality. We evaluated the proposed methods using clinical and simulated MRSI data and biopsy results. The MRSI analysis results were correct 97% of the time when classifying the spectra of the clinical MRSI data into normal tissue, tumor, and radiation necrosis. They were correct 72% and 83% of the time when determining tumor types using the clinical and simulated MRSI data, respectively.

关键词： Wavelet packets Neoplasms Artificial neural networks Biopsy Magnetic resonance Spectroscopy Magnetic resonance imaging Fingerprint recognition Surgery Cancer

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Progressive compression of 3D dynamic mesh sequences

Progressive compression of 3D dynamic mesh sequences

引用

IEEE International Conference on Image processing

作者： Jeong-Hyu Yang Chang-Su Kim Sang-Uk Lee Signal Processing Laboratory School of Electrical Engineering and Computer Science Seoul National University Seoul South Korea Department of Information Engineering Chinese University of Hong Kong Sha Tin Hong Kong China

ISBN: (纸本)0780385543

An algorithm to compress 3D mesh sequences for dynamic objects is proposed in this work. Given an irregular mesh sequence, we construct a semi-regular mesh structure for the first frame and then map it to the subsequent frames bused on the hierarchical motion estimation. The regular structure of the resulting mesh sequence enables us to employ the zero-tree coding scheme to compress the motion compensation residuals efficiently. Simulation results demonstrate that the proposed algorithm provides significantly better compression performance than the static coder that encodes each frame independently.

关键词： Motion estimation Video coding Laser modes Image motion analysis Shape Geometry Tracking Topology Mesh generation

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Activation detection in multi-subject studies of fMRI using GLRT

Activation detection in multi-subject studies of fMRI using ...

引用

IEEE Symposium on Nuclear Science (NSS/MIC)

作者： S.M. Shams G.A. Hossein-Zadeh H. Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Institute for Studies in Theoretical Physics and Mathematics University of Tehran School of Cognitive Sciences Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Institute for Studies in Theoretical Physics and Mathematics and Medical Image Analysis Laboratory Henry Ford Health System University of Tehran School of Cognitive Sciences Iran

A new method based on generalized likelihood ratio test (GLRT) for activation detection in multi-subject studies of functional MRI (fMRI) is proposed. In this method, we test the correlation between the fMRI time series of different subjects and the bases of a signal subspace which increases the flexibility of method in detecting different shapes of hemodynamic response. The proposed multivariate method can be applied to group studies where the conventional cross-correlation method cannot be used due to its univariate property. This method is applied to both experimental and simulated fMRI data and the results are compared to those of general linear model (GLM). We show that the proposed method detects more significant activated regions in analyzing experimental data and more true voxels in simulated data

关键词： Testing Hemodynamics Brain modeling Process control Intelligent control Physics computing Mathematics Time series analysis Magnetic resonance imaging Data analysis

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Full-field mammogram analysis based on the identification of normal regions

Full-field mammogram analysis based on the identification of...

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IEEE International Symposium on Biomedical Imaging

作者： Y. Sun C. Babbs E.J. Delp Video and Image Processing Laboratory School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Department of Basic Medical Sciences School of Veterinary Medicine Purdue University West Lafayette IN USA

We present a new method for full-field mammogram analysis. A mammogram is analyzed region by region and is classified as normal or abnormal. We present methods for extracting features that can be used to distinguish normal and abnormal regions of a mammogram. We describe our classifier technique that uses a unique reclassification method to boost the classification performance. We have tested this technique on a set of ground-truth full-field mammograms.

关键词： Feature extraction Breast cancer Cancer detection Mammography Biomedical imaging Image analysis Delta-sigma modulation Spatial databases Image databases Optical scattering

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