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Fingerprint authentication device based on optical characteristics inside a finger

Fingerprint authentication device based on optical character...

引用

2006 conference on computer vision and pattern recognition workshops

作者： Sano, Emiko Maeda, Takuji Nakamura, Takahiro Shikai, Masahiro Sakata, Koji Matsushita, Masahito Sasakawa, Koichi Advanced Technology R and D Center Mitsubishi Electric Corporation Hyogo Japan

ISBN: (纸本)0769526462

Fingerprint is the most popular modality that is widely used in various authentication applications;PC logon, gate access control systems, and so on. The reason can be considered that fingerprint can achieve the best balance among authentication performance, cost, size of device, and ease of use. However, most of fingerprint authentication devices have some problems to be solved. One is that captured images are easily affected by the condition of finger surface and it can degrade authentication performance. The other is that the problem of impersonation by artificial gummy fingers has been pointed out. To solve those problems, we developed a new fingerprint authentication device that has a novel sensing principle. This device forms a image of fingerprint pattern based on optical characteristics of a finger's interior by scattered transmission light. The images so obtained are unaffected by the condition of finger surface such as dry or moist fingers or operating environment, and enable stable authentication processes. And it can differentiate between real fingers and fake gummy fingers made from gelatin or other material using optical characteristics. Because this device utilizes the optical characteristics inside a finger, it has possibility to achieve higher authentication performance by combining multiple characteristics of a finger's interior as a modality. In this paper, we describe the sensing principle and process algorithm of this device. © 2006 ieee.

关键词： pattern recognition systems

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RANSAC for (Quasi-)Degenerate data (QDEGSAC)

RANSAC for (Quasi-)Degenerate data (QDEGSAC)

引用

2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Frahm, Jan-Michael Pollefeys, Marc Department of Computer Science University of North Carolina at Chapel Hill Chapel Hill NC 27599

ISBN: (纸本)0769525970

The computation of relations from a number of potential matches is a major task in computer vision. Often RANSAC is employed for the robust computation of relations such as the fundamental matrix. For (quasi-)degenerate data however, it often fails to compute the correct relation. The computed relation is always consistent with the data but RANSAC does not verify that it is unique. The paper proposes a framework that estimates the correct relation with the same robustness as RANSAC even for (quasi-)degenerate data. The approach is based on a hierarchical RANSAC over the number of constraints provided by the data. In contrast to all previously presented algorithms for (quasi-)degenerate data our technique does not require problem specific tests or models to deal with degenerate configurations. Accordingly it can be applied for the estimation of any relation on any data and is not limited to a special type of relation as previous approaches. The results are equivalent to the results achieved by state of the art approaches that employ knowledge about degeneracies. © 2006 ieee.

关键词： pattern matching

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Image pre-conditioning for out-of-focus projector blur

Image pre-conditioning for out-of-focus projector blur

引用

2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Brown, Michael S. Song, Peng Cham, Tat-Jen School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore

ISBN: (纸本)0769525970

We present a technique to reduce image blur caused by out-of-focus regions in projected imagery. Unlike traditional restoration algorithms that operate on a blurred image to recover the original, the nature of our problem requires that the correction be applied to the original image before blurring. To accomplish this, a camera is used to estimate a series of spatially varying point-spread-functions (PSF) across the projector's image. These discrete PSFs are then used to guide a pre-processing algorithm based on Wiener filtering to condition the image before projection. Results show that using this technique can help ameliorate the visual effects from out-of-focus projector blur. © 2006 ieee.

关键词： Image processing

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Fusion of summation invariants in 3D human face recognition

Fusion of summation invariants in 3D human face recognition

引用

2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Lin, Wei-Yang Wong, Kin-Chung Boston, Nigel Hu, Yu Hen University of Wisconsin-Madison Department of Electrical and Computer Engineering 1415 Engineering Drive Madison WI 53706

ISBN: (纸本)0769525970

A novel family of 2D and 3D geometrically invariant features, called summation invariants is proposed for the recognition of the 3D surface of human faces. Focusing on a rectangular region surrounding the nose of a 3D facial depth map, a subset of the so called semi-local summation invariant features is extracted. Then the similarity between a pair of 3D facial depth maps is computed to determine whether they belong to the same person. Out of many possible combinations of these set of features, we select, through careful experimentation, a subset of features that yields best combined performance. Tested with the 3D facial data from the on-going Face recognition Grand Challenge v1.0 dataset, the proposed new features exhibit significant performance improvement over the baseline algorithm distributed with the dataset. © 2006 ieee.

关键词： Face recognition

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A mean field EM-algorithm for coherent occlusion handling in MAP-estimation problems

A mean field EM-algorithm for coherent occlusion handling in...

引用

2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Fransens, Rik Strecha, Christoph Van Gool, Luc K.U.Leuven-ESAT-PSI Kasteelpark 1 3001 Leuven Belgium

ISBN: (纸本)0769525970

This paper presents a generative model based approach to deal with occlusions in vision problems which can be formulated as MAP-estimation problems. The approach is generic and targets applications in diverse domains like model-based object recognition, depth-from-stereo and image registration. It relies on a probabilistic imaging model, in which visible regions and occlusions are generated by two separate processes. The partitioning into visible and occluded regions is made explicit by the introduction of an hidden binary visibility map, which, to account for the coherent nature of occlusions, is modelled as a Markov Random Field. Inference is made tractable by a mean field EM-algorithm, which alternates between estimation of visibility and optimisation of model parameters. We demonstrate the effectiveness of the approach with two examples. First, in a N-view stereo experiment, we compute a dense depth map of a scene which is contaminated by multiple occluding objects. Finally, in a 2D-face recognition experiment, we try to identify people from partially occluded facial images. © 2006 ieee.

关键词： computer vision

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Stereo matching with color-weighted correlation, hierarchical belief propagation and occlusion handling

Stereo matching with color-weighted correlation, hierarchica...

引用

2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Qìngxióng, Yáng Liang, Wang Ruigang, Yang Stewénius, Henrik Nistér, David Center for Visualization and Virtual Environments Department of Computer Science University of Kentucky

ISBN: (纸本)0769525970

In this paper, we formulate an algorithm for the stereo matching problem with careful handling of disparity, discontinuity and occlusion. The algorithm works with a global matching stereo model based on an energy-minimization framework. The global energy contains two terms, the data term and the smoothness term. The data term is first approximated by a color-weighted correlation, then refined in occluded and low-texture areas in a repeated application of a hierarchical loopy belief propagation algorithm. The experimental results are evaluated on the Middlebury data set, showing that our algorithm is the top performer. © 2006 ieee.

关键词： Algorithms

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Model-based face de-identification

Model-based face de-identification

引用

2006 conference on computer vision and pattern recognition workshops

作者： Gross, Ralph Sweeney, Latanya De La Torre, Fernando Baker, Simon Data Privacy Lab. School of Computer Science Carnegie Mellon University United States Robotics Institute Carnegie Mellon University United States

ISBN: (纸本)0769526462

Advances in camera and computing equipment hardware in recent years have made it increasingly simple to capture and store extensive amounts of video data. This, among other things, creates ample opportunities for the sharing of video sequences. In order to protect the privacy of subjects visible in the scene, automated methods to de-identify the images, particularly the face region, are necessary. So far the majority of privacy protection schemes currently used in practice rely on ad-hoc methods such as pixelation or blurring of the face. In this paper we show in extensive experiments that pixelation and blurring offers very poor privacy protection while significantly distorting the data. We then introduce a novel framework for de-identifying facial images. Our algorithm combines a model-based face image parameterization with a formal privacy protection model. In experiments on two large-scale data sets we demonstrate privacy protection and preservation of data utility. © 2006 ieee.

关键词： Face recognition

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Pose-invariant physiological face recognition in the thermal infrared spectrum

Pose-invariant physiological face recognition in the thermal...

引用

2006 conference on computer vision and pattern recognition workshops

作者： Buddharaju, P. Pavlidis, I.T. Tsiamyrtzis, P. Dept. of Computer Science University of Houston Dept. of Statistics Athens University of Economics

ISBN: (纸本)0769526462

We present a novel framework for face recognition based on physiological information. The motivation behind this effort is to capitalize on the permanency of innate characteristics that are under the skin. To establish feasibility, we propose a specific methodology to capture facial physiological patterns using the bioheat information contained in thermal imagery. First, the algorithm delineates the human face from the background using the Bayesian framework. Then, it localizes the superficial blood vessel network using image morphology. The extracted vascular network produces contour shapes that are characteristic to each individual The branching points of the skeletonized vascular network are referred to as Thermal Minutia Points (TMP) and constitute the feature database. To render the method robust to facial pose variations we collect for each subject to be stored in the database five (5) different pose images (center, mid-left profile, left profile, mid-right profile, and right profile). During the classification stage, the algorithm first estimates the pose of the test image. Then, it matches the local and global TMP structures extracted from the test image with those of the corresponding pose images in the database. We have conducted experiments on a sizeable database of thermal facial images collected in our lab. The good experimental results show that the proposed methodology has merit. More important, the results demonstrate the feasibility of the physiological framework in face recognition and open the way for further methodological and experimental research in the area. © 2006 ieee.

关键词： Face recognition

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Estimating mixing factors simultaneously in multilinear tensor decomposition for robust face recognition and synthesis

Estimating mixing factors simultaneously in multilinear tens...

引用

2006 conference on computer vision and pattern recognition workshops

作者： Sung, Won Park Savvides, Marios Electrical and Computer Engineering Department Carnegie Mellon University Pittsburgh PA 15213

ISBN: (纸本)0769526462

Facial images change appearance due to multiple factors such as poses, lighting variations, facial expressions, etc. Tensor approach, an extension of conventional matrix, is appropriate to analyze facial factors since tensors make it possible to construct multilinear models using a multiple factor structure. We use higher-order tensors to model multiple factors of facial variations, but this provides some difficulty in use. First, it is difficult to decompose the multiple factors of a test image, especially when the factor parameters are unknown or are not in the training set. Second, for face recognition and face synthesis tasks, it is also difficult to construct reliable multilinear models which have more than two factors. In this paper, we propose a novel tensor factorization method to decompose mixing factors for unseen test images. We set up tensor factorization problem as a least squares problems with a quadratic equality constraint, and solve it using numerical optimization techniques. The novelty in our approach compared to previous work is that our tensor factorization method does not require any knowledge or assumption of test images;we can attain parameters of facial factors by our tensor factorization method. We have conducted several experiments to show the versatility of the method for both face recognition and synthesis tasks. Thus, we demonstrate the proposed method produces reliable results for trilinear models as well as bilinear models. © 2006 ieee.

关键词： Face recognition

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Hierarchical volumetric multi-view stereo reconstruction of manifold surfaces based on dual graph embedding

Hierarchical volumetric multi-view stereo reconstruction of ...

引用

2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Hornung, Alexander Kobbelt, Leif Computer Graphics Group RWTH Aachen University

ISBN: (纸本)0769525970

This paper presents a new volumetric stereo algorithm to reconstruct the 3D shape of an arbitrary object. Our method is based on finding the minimum cut in an octahedral graph structure embedded into the volumetric grid, which establishes a well defined relationship between the integrated photo-consistency function of a region in space and the corresponding edge weights of the embedded graph. This new graph structure allows for a highly efficient hierarchical implementation supporting high volumetric resolutions and large numbers of input images. Furthermore we will show how the resulting cut surface can be directly converted into a consistent, closed and manifold mesh. Hence this work provides a complete multi-view stereo reconstruction pipeline. We demonstrate the robustness and efficiency of our technique by a number of high quality reconstructions of real objects. © 2006 ieee.

关键词： Stereo vision

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