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5th International Conference on Audio - and Video-Based Biometric Person Authentication, AVBPA 2005

作者： Park, Jeong-Seon Lee, Seong-Whan Center for Artificial Vision Research Department of Computer Science and Engineering Korea University Anam-dong Seongbuk-ku Seoul 136-701 Korea Republic of

This paper proposes a new method for reconstructing a high-resolution facial image from a low-resolution facial image using stepwise reconstruction based on the interpolated morphable face model. First, we defined an interpolated morphable face model that an interpolated face is composed of a low-resolution face, its interpolated high-resolution face from a low-resolution one, and its original high-resolution one. We also proposed a stepwise reconstruction method for preventing over reconstruction caused by direct reconstruction of a high-resolution image from a low-resolution facial image. The encouraging results show that our proposed method can be used to improve the performance of face recognition systems, specifically in resolution enhancement of facial images captured on visual surveillance systems. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Image reconstruction

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Fuzzy vault for fingerprints

Fuzzy vault for fingerprints

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5th International Conference on Audio - and Video-Based Biometric Person Authentication, AVBPA 2005

作者： Uludag, Umut Pankanti, Sharath Jain, Anil K. Department of Computer Science and Engineering Michigan State University East Lansing MI 48824 United States Exploratory Computer Vision Group IBM T.J. Watson Research Center Yorktown Heights NY 10598 United States

Biometrics-based user authentication has several advantages over traditional password-based systems for standalone authentication applications, such as secure cellular phone access. This is also true for new authentication architectures known as crypto-biometric systems, where cryptography and biometrics are merged to achieve high security and user convenience at the same time. In this paper, we explore the realization of a previously proposed cryptographic construct, called fuzzy vault, with the fingerprint minutiae data. This construct aims to secure critical data (e.g., secret encryption key) with the fingerprint data in a way that only the authorized user can access the secret by providing the valid fingerprint. The results show that 128-bit AES keys can be secured with fingerprint minutiae data using the proposed system. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Fuzzy control

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Face recognition with weighted locally linear embedding

Face recognition with weighted locally linear embedding

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Canadian Conference on computer and Robot vision, CRV

作者： N. Mekuz C. Bauckhage J.K. Tsotsos Department of Computer Science Center of Vision Research York University Toronto ONT Canada

We present an approach to recognizing faces with varying appearances which also considers the relative probability of occurrence for each appearance. We propose and demonstrate extending dimensionality reduction using locally linear embedding (LLE), to model the local shape of the manifold using neighboring nodes of the graph, where the probability associated with each node is also considered. The approach has been implemented in software and evaluated on the Yale database of face images (Belhumeur et al., 1997). Recognition rates are compared with non-weighted LLE and principal component analysis (PCA), and in our setting, weighted LLE achieves superior performance.

关键词： Face recognition Principal component analysis Face detection Image databases Shape computer vision Image recognition computer science Pattern recognition Humans

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IC-P-048

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Alzheimer's & Dementia 2006年第3期2卷 S673-S674页

作者： Corina Pennanen Mia Tapiola Susanna Tervo Miia Kivipelto Tuomo Hänninen Maija Pihlajamäki Mikko P. Laakso Merja Hallikainen Matti Vanhanen Eeva-Liisa Helkala Ritva Vanninen Aulikki Nissinen Cristina Testa Giovanni Frisoni Hilkka Soininen Department of Neuroscience and Neurology University of Kuopio and Brain Research Unit Clinical Research Center Mediteknia Kuopio Finland Department of Neurology and Department of Radiology Kuopio University Hospital Kuopio Finland Department of Neurology Kuopio University Hospital Kuopio Finland Department of Public Health University of Kuopio Kuopio Finland Department of Clinical Radiology Kuopio University Hospital Kuopio Finland National Institute of Public Health Helsinki Finland Laboratory of Epidemiology & Neuroimaging IRCCS San Giovanni di Dio - FBF Brescia Italy Machine Vision Laboratory Department of Mathematics and Computer Science University of Udine Udine Italy AFaR - Associazione Fatebenefratelli per la Ricerca Rome Italy.

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Adaptive enhancement of cardiac magnetic resonance (CMR) images

Adaptive enhancement of cardiac magnetic resonance (CMR) ima...

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International Conference on computer vision (ICCV)

作者： E.T.H. Leung J.K. Tsotsos Department of Computer Science and Engineering and Center for Vision Research (CVR) York University Toronto ONT Canada

This paper presents a wavelet-based framework for enhancing the coherent structures attributable to the target organ in cardiac magnetic resonance (MR) images. Previous approaches focus on the Rician nature of noise in magnitude MR images. Image noise is but only one of the confounding factors that obscure the anatomical structures of the target organ. This paper models the image noise in a magnitude MR image in terms of two noise classes which occur over different ranges of signal intensity. An adaptive enhancement scheme is developed to achieve simultaneous attenuation of the effects of these factors and improvement in image contrast

关键词： Magnetic resonance Magnetic noise Heart Rician channels Anatomical structure Data mining Shape Noise shaping Noise reduction Background noise

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Reconstruction of 3D human body pose based on top-down learning

Reconstruction of 3D human body pose based on top-down learn...

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International Conference on Intelligent Computing, ICIC 2005

作者： Yang, Hee-Deok Park, Sung-Kee Lee, Seong-Whan Department of Computer Science and Engineering Korea University Anam-dong Seongbuk-gu Seoul 136-713 Korea Republic of Intelligent Robotics Research Center Korea Institute of Science and Technology P.O. Box 131 Cheongryang Seoul 130-650 Korea Republic of

ISBN: (纸本)9783540282266

This paper presents a novel method for reconstructing 3D human body pose from monocular image sequences based on top-down learning. Human body pose is represented by a linear combination of prototypes of 2D silhouette images and their corresponding 3D body models in terms of the position of a predetermined set of joints. With a 2D silhouette image, we can estimate optimal coefficients for a linear combination of prototypes of the 2D silhouette images by solving least square minimization. The 3D body model of the input silhouette image is obtained by applying the estimated coefficients to the corresponding 3D body model of prototypes. In the learning stage, the proposed method is hierarchically constructed by classifying the training data into several clusters recursively. Also, in the reconstructing stage, the proposed method hierarchically reconstructs 3D human body pose with a silhouette image or a silhouette history image. We use a silhouette history image and a blurring silhouette image as the spatio-temporal features for reducing noise due to extraction of silhouette image and for extending the search area of current body pose to related body pose. The experimental results show that our method can be efficient and effective for reconstructing 3D human body pose. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Image reconstruction

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Gesture recognition by attention control method for intelligent humanoid robot

Gesture recognition by attention control method for intellig...

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9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005

作者： Oh, Jae Yong Lee, Chil Woo You, Bum Jae Department of Computer Engineering Chonnam National University 300 Yongbong-dong Buk-gu Gwangju 500-757 Korea Republic of Intelligent Robotics Research Center Korea Institute of Science and Technology 39-1 Hawolgok-dong Seongbuk-gu Seoul 136-791 Korea Republic of

ISBN: (纸本)3540288945

this paper, we describe an algorithm which can automatically recognize human gesture for Human-Robot interaction by utilizing attention control method. In early works, many systems for recognizing human gestures work under many restricted conditions. To solve the problem, we propose a novel model called APM(Active Plane Model), which can represent 3D and 2D gesture information simultaneously. Also we present the state transition algorithm for selection of attention. In the algorithm, first we obtain the information about 2D and 3D shape by deforming the APM, and then the feature vectors are extracted from the deformed APM. The next step is constructing a gesture space by analyzing the statistical information of training images with PCA. And then, input images are compared to the model and individually symbolized to one of the pose model in the space. In the last step, the symbolized poses are recognized with HMM as one of model gestures. The experimental results show that the proposed algorithm is very efficient to construct intelligent interface system. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Gesture recognition

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Scalable temporal interest points for abstraction and classification of video events

Scalable temporal interest points for abstraction and classi...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Seung-Hoon Han ln-So Kweon Digital Media R&D Center Samsung Electronics Company Limited South Korea Robotics and Computer Vision Laboratory Division of Electrical Engineering Department of EECS Korea Advanced Institute of Science and Technology South Korea

The image sequence of a static scene includes similar or redundant information over time. Hence, motion-discontinuous instants can efficiently characterize a video shot or event. However, such instants (key frames) are differently identified according to the change of velocity and acceleration of motion, and such scales of change might be different on each sequence of the same event. In this paper, we present a scalable video abstraction in which the key frames are obtained by the maximum curvature of camera motion at each temporal scale. The scalability means dealing with the velocity and acceleration change of motion. In the temporal neighborhood determined by the scale, the scene features (motion, color, and edge) can be used to index and classify the video events. Therefore, those key frames provide temporal interest points (TIPs) for the abstraction and classification of video events.

关键词： Layout Acceleration Cameras Humans research and development Robot vision systems computer vision Laboratories Image sequences Scalability

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Modeling of human driving behavior based on piecewise linear model

Modeling of human driving behavior based on piecewise linear...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Jong-Hae Kim S. Okuma Young-Woo Kim Don-Ha Hwang Min-Huei Kim Dong-Hee Kim Department of Electrical Engineering and Computer Science Graduate School of Engineering University of Nagoya Japan Space Robotics Research Center Toyota Technological Institute Nagoya Japan Industry Applications Research Laboratory Korea Electrotechnology Research Institute Changwon South Korea Department of Electrical & Automation Engineering Yeungnam College of Science and Technology Daegu South Korea Department of Electrical Engineering Yeungnam University Kyungbuk South Korea

This paper presents the development of the modeling strategy of the human driving behavior based on the expression as Piecewise Linear (PWL) model focusing on the driver’s stopping maneuver. The driving data are collected by using the three-dimensional driving simulator based on CAVE, which provides stereoscopic immersive vision. In our modeling, the relationship between the driver’s sensory information and the operation of the driver such as braking amount is expressed by PWL model, which is a class of Hybrid Dynamical System (HDS). The identification problem for the PWL model is formulated as the Mixed Integer Linear Programming (MILP) by transforming the switching conditions into binary variables. From the obtained results, it is found that the driver appropriately switches the ‘control low’ according to the sensory information. These results enable us to capture not only the physical meaning of the driving skill, but also the decision-making aspect (switching conditions) in the driver’s stopping maneuver.

关键词： Humans Piecewise linear techniques Hidden Markov models Decision making computer science Space technology robotics and automation Switches Automatic control Service robots

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A new endoscopic microcapsule robot using beetle inspired microfibrillar adhesives

A new endoscopic microcapsule robot using beetle inspired mi...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： E. Cheung M.E. Karagozler Sukho Park Byungkyu Kim M. Sitti The NanoRobotics Lab and the Department of Mechanical Engineering Carnegie Mellon University Pittsburgh PA USA The NanoRobotics Lab and the Department of Electrical & Computer Engineering Carnegie Mellon University Pittsburgh PA USA Senior Research Scientists at the Intelligent Microsystem Center Korea Institute of Science and Technology Information Seoul South Korea The director of the NanoRobotics Lab and an AssistantProfessor with the Department of Mechanical Engineering and Robotics Institute Carnegie Mellon University Pittsburgh PA USA

The diagnosis of gastrointestinal diseases within the small intestine has been greatly advanced with the introduction of the endoscopic microcapsule in recent years. In an effort to increase its reliability and expand its functionality, a mechanism for stopping and locomoting the capsule within the digestive tract is proposed in this paper. This mechanism, actuated by shape memory alloy wires, utilizes a synthetic microfibrillar adhesive similar to the attachment mechanisms employed by beetles. This fibrillar attachment mechanism is a combination of molecular adhesion caused by van der Waals forces and liquid adhesion caused by capillary forces. The molecular adhesion is enhanced by the presence of microfibers, and the liquid adhesion arises from a secretion from the beetle's footpad. A synthetic version of the beetle's footpad was fabricated from PDMS using a silicon mold. Another version was created from SU-8 using photolithography. Testing revealed decent adhesion with glass and prepared pig intestine in vitro both with a silicone oil to simulate the secretion and without it. A prototype robot with simple polymer adhesive pads for stopping successfully attached and detached inside a flexible vinyl tube. An inch worm locomotion mechanism is proposed and is in the preliminary stages of fabrication and testing

关键词： Robots Adhesives Intestines Fluids and secretions Testing Gastrointestinal tract Diseases Digestive system Shape memory alloys Wires

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