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Deformable face mapping for person identification

Deformable face mapping for person identification

引用

ieee International conference on image processing

作者： F. Perronnin J.-L. Dugelay K. Rose Multimedia Communications Department Institut Eurecom Sophia-Antipolis France Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

This paper introduces a novel deformable model for face mapping and its application to automatic person identification. While most face recognition techniques directly model the face, our goal is to model the transformation between face images of the same person. As a global face transformation may be too complex to be modeled in its entirety, it is approximated by a set of local transformations with the constraint that neighboring transformations must be consistent with each other. Local transformations and neighboring constraints are embedded within the probabilistic framework of a two-dimensional hidden Markov model (2-D HMM). Experimental results on a face identification task show that the new approach compares favorably to the popular Fisherfaces algorithm.

关键词： Hidden Markov models Face recognition Facial animation Deformable models Cost function Multimedia communication Application software Two dimensional displays pattern classification Lighting

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Using multiple cues for hand tracking and model refinement

Using multiple cues for hand tracking and model refinement

引用

conference on computer Vision and pattern recognition (CVPR)

作者： Shan Lu D. Metaxas D. Samaras J. Oliensis CS Department Rutgers University Piscataway NJ USA CS Department SUNY at Stony Brook Stony Brook NY USA CS Department Stevens Institute of Technology Hoboken NJ USA

We present a model based approach to the integration of multiple cues for tracking high degree of freedom articulated motions and model refinement. We then apply it to the problem of hand tracking using a single camera sequence. Hand tracking is particularly challenging because of occlusions, shading variations, and the high dimensionality of the motion. The novelty of our approach is in the combination of multiple sources of information, which come from edges, optical flow, and shading information in order to refine the model during tracking. We first use a previously formulated generalized version of the gradient-based optical flow constraint, that includes shading flow i.e., the variation of the shading of the object as it rotates with respect to the light source. Using this model we track its complex articulated motion in the presence of shading changes. We use a forward recursive dynamic model to track the motion in response to data derived 3D forces applied to the model. However, due to inaccurate initial shape, the generalized optical flow constraint is violated. We use the error in the generalized optical flow equation to compute generalized forces that correct the model shape at each step. The effectiveness of our approach is demonstrated with experiments on a number of different hand motions with shading changes, rotations and occlusions of significant parts of the hand.

关键词： image motion analysis Tracking Cameras Light sources Error correction Deformable models Information resources Equations Optical computing Human computer interaction

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MedIGrid: a medical imaging environment based on a grid computing infrastructure

MedIGrid: a medical imaging environment based on a grid comp...

引用

Annual International conference of the ieee Engineering in Medicine and Biology society (EMBC)

作者： P. Bonetto G. Oliva A.R. Formiconi Dipahmento di Informatica e Scienze dell'lnformazione University of Genoa Italy Institute for High Performance Computing and Networking CNR Naples Italy Dipartimento di Fisiopatologia clinica University of Florence Italy

A high performance, freely accessible medical image processing.environment based on a distributed architecture is presented: MedlGrid is the result of a joined interaction between scientists devoted to the design and deployment of new and efficient tomographic reconstruction techniques, researchers in the field of distributed and parallel architectures, and physicians interested in experimenting with new advances in the field of image reconstruction and analysis. The main goal of the project was to design an easily accessible and usable environment with which the medical community can experiment on one side, and that research groups can use as a reference or as a basis for continuing research on the other side. The outcome of this work consists of a prototypal grid infrastructure along with an open and distributed software environment. The grid computing architecture includes a storage server, a high performance parallel computing unit, and two PCs that act as clients to the system and that are located in geographically distant areas. The Globus Toolkit has been chosen to implement the middleware between hardware and software. The latter consists of a set of tools and strategies to reconstruct, display, analyze as well as store, share, distribute and organize medical images, addressing the major problems in the field of image reconstruction and processing. It is platform independent, remotely executable, freely downloadable and accessible, and based on open source code.

关键词： Biomedical imaging Grid computing image reconstruction computer architecture image analysis Biomedical image processing Tomography Parallel architectures Performance analysis Software prototyping

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Radon transform inversion via Wiener filtering over the Euclidean motion group

Radon transform inversion via Wiener filtering over the Eucl...

引用

ieee International conference on image processing

作者： C.E. Yarman B. Yazici School of Biomedical Sci. & Engineering Drexel University Philadelphia PA USA Electrical and Computer Engineering Drexel University Philadelphia PA USA

In this paper we formulate the Radon transform as a convolution integral over the Euclidean motion group (SE(2)) and provide a minimum mean square error (MMSE) stochastic deconvolution method for the Radon transform inversion. Proposed approach provides a fundamentally new formulation that can model nonstationary signal and noise fields. Key components of our development are the Fourier transform over SE(2), stochastic processes indexed by groups and fast implementation of the SE(2) Fourier transform. Numerical studies presented here demonstrate that the method yields image quality that is comparable or better than the filtered backprojection algorithm. Apart from X-ray tomographic image reconstruction, the proposed deconvolution method is directly applicable to inverse radiotherapy, and broad range of science and engineering problems in computer vision, pattern recognition, robotics as well as protein science.

关键词： Wiener filter Deconvolution Fourier transforms Convolution Mean square error methods Stochastic resonance Stochastic processes image quality X-ray imaging Tomography

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Shape-from-silhouette of articulated objects and its use for human body kinematics estimation and motion capture

Shape-from-silhouette of articulated objects and its use for...

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conference on computer Vision and pattern recognition (CVPR)

作者： K.M.G. Cheung S. Baker T. Kanade Robotics Institute Carnegie Mellon University Pittsburgh PA USA

Shape-from-silhouette (SFS), also known as visual hull (VH) construction, is a popular 3D reconstruction method, which estimates the shape of an object from multiple silhouette images. The original SFS formulation assumes that the entire silhouette images are captured either at the same time or while the object is static. This assumption is violated when the object moves or changes shape. Hence the use of SFS with moving objects has been restricted to treating each time instant sequentially and independently. Recently we have successfully extended the traditional SFS formulation to refine the shape of a rigidly moving object over time. We further extend SFS to apply to dynamic articulated objects. Given silhouettes of a moving articulated object, the process of recovering the shape and motion requires two steps: (1) correctly segmenting (points on the boundary of) the silhouettes to each articulated part of the object, (2) estimating the motion of each individual part using the segmented silhouette. In this paper, we propose an iterative algorithm to solve this simultaneous assignment and alignment problem. Once we have estimated the shape and motion of each part of the object, the articulation points between each pair of rigid parts are obtained by solving a simple motion constraint between the connected parts. To validate our algorithm, we first apply it to segment the different body parts and estimate the joint positions of a person. The acquired kinematic (shape and joint) information is then used to track the motion of the person in new video sequences.

关键词： Humans Kinematics Motion estimation Shape image segmentation Iterative algorithms Surface treatment Robots Reconstruction algorithms Tracking

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pattern analysis of cell micronuclei images to evaluate their use as indicators of cell damage

Pattern analysis of cell micronuclei images to evaluate thei...

引用

Annual International conference of the ieee Engineering in Medicine and Biology society (EMBC)

作者： A. Lozano J.A. Marquez A.E. Buenfil M.E. Gonsebatt Image and Vision Laboratory CCADET UNAM Mexico Mexico UNAM Mexico Instituto de Investigaciones Biomédicas UNAM Mexico

Early biological changes that can be associated with disease are important indicators or biomarkers for the development of preventive screening strategies. Epidemiological studies have shown that the presence of chromosome damage or instability in human lymphocytes could be considered as an indicator of cancer risk. Chromosome damage can also be estimated using the micronuclei (MN) assay. MN are nuclear bodies originated by chromosome breakage or chromosome segregation during cell division. MN assay can be performed in epithelial tissues in direct contact with xenobiotics and carcinogens, becoming an indicator of cancer risk. Cell MN are thus geometric configurations that appear in the cell cytoplasm as small round bodies near the cell nucleus after cell division. Scoring micronuclei requires a trained individual to detect and count MN in approximately 3000-5000 cells from images in a microscope, becoming a tedious, subjective and error-prone task. In this paper we describe automated detection and counting techniques using digital image processing.and pattern recognition, allowing automated detection and quantification of the cellular micronuclei configurations, making this technique much more effective for fast and reliable assessing of DNA damage by exposure to radiation and toxic substances.

关键词： pattern analysis Biological cells Cancer Radiation detectors Diseases Biomarkers Humans Cells (biology) Microscopy Digital images

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"Finscan", a computer system for photographic identification of marine animals

"Finscan", a computer system for photographic identification...

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24th Annual International conference of the Engineering-in-Medicine-and-Biology-society/Annual Fall Meeting of the Biomedical-Engineering-society (EMBS 2002 BMES)

作者： Hillman, GR Kehtarnavaz, N Wursig, B Araabi, B Gailey, G Weller, D Mandava, S Tagare, H Univ Texas Med Branch Galveston TX 77550 USA

ISBN: (纸本)0780376129

A system has been developed for computer-assisted photographic identification of marine animals. The system creates and maintains a database of images of dorsal fins or flukes, and the user queries it by entering a new image acquired in the field. The system searches the database for similar images based on the notching pattern of the dorsal fin or fluke, and offers a list of database members-ordered by similarity to the query image. A syntactic/semantic string representation method is used for matching and is compared with matching by direct alignment of edge patterns. The system has been tested with data sets of images of several biological species.

关键词： image database photo-identification marine biology pattern recognition

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Eigenvector method for texture recognition

Eigenvector method for texture recognition

引用

International conference on image processing.(ICIP'02)

作者： Carcassoni, Marco Ribeiro, Eraldo Hancock, Edwin R. Department of Computer Science University of York York Y01 5DD United Kingdom

In this paper we investigate how texture recognition can be achieved through the modal analysis of the pattern of peaks in the spectral density function. We commence from a texture characterisation which is based on the positions of peaks in the power spectrum. Our aim is to use the modal structure of the pattern of peaks to perform texture retrieval from an image data-base. We explore two different approaches to the problem. First, we use a variant of the Shapiro and Brady method to perform recognition by comparing the modal structure of the proximity matrix for peak cluster centres. Second, we perform latent semantic indexing on vectors representing the polar distribution of frequency peaks. We provide and experimental evaluation of these two methods on a data-base of fabric and wrapping paper patterns.

关键词： pattern recognition

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INDI -: Intelligent database navigation by interactive and intuitive content-based image retrieval

INDI -: Intelligent database navigation by interactive and i...

引用

ieee International conference on image processing

作者： Kämpfe, T Käster, T Pfeiffer, M Ritter, H Sagerer, G Univ Bielefeld Fac Technol Appl Comp Sci & Neuroinformat Grp D-33501 Bielefeld Germany

ISBN: (纸本)0780376226

We present a content-based image retrieval system INDI that combines the use of low-level pattern recognition techniques, machine learning and an intuitive human-computer interface in order to support intelligent and user-friendly semantic navigation in large image databases. To keep independence from specific image domains and to encompass different search tasks, the system is highly modular and contains a hierarchical mechanism for the adaptive re-weighting of similarity measures implemented by dynamically reloadable modules at different semantic levels.

关键词： image retrieval relevance feedback machine learning

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Laser interferometric method for determination of elastoplastic strain field

Laser interferometric method for determination of elastoplas...

引用

conference on Optical Technology and image processing.for Fluids and Solids Diagnostics 2002

作者： Wang, SB Tong, JW Cottron, M Li, LA Wang, ZY Tianjin Univ Dept Mech Tianjin Peoples R China

ISBN: (纸本)0819448648

A new full-field optical technique is developed to study surface deformation of solids. This method combines the measurement by grid method and the digital image processing. An optical information processing.system and a digital image processing.system of computer are used in this method. At the output plane we receive the pattern of grating lines that can be used for the analysis of deformation of the specimen on which we have produced the phase grating. At last we show the application of this technique in the investigation of elastic-plastic fracture.

关键词： grating digital image elastic-plastic field crack strain

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