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8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007

作者： Han, Song-Yi Park, Hyun-Ae Cho, Dal-Ho Park, Kang Ryoung Lee, Sangyoun Dept. of Computer Science Sangmyung University Biometrics Engineering Research Center 7 Hongji-Dong Jongro-gu Seoul Korea Republic of Image Sensor and Vision Technology Pixelplus Co. Ltd. Division of Digital Media Technology Sangmyung University Biometrics Engineering Research Center 7 Hongji-Dong Jongro-gu Seoul Korea Republic of Biometrics Engineering Research Center Dept. of Electrical and Electronic Engineering Yonsei University 134 Shinchon-dong Seodaemon-ku Seoul Korea Republic of

ISBN: (纸本)9783540715900

Recently, many companies have attempted to adopt biomeric technology in their mobile phones. In this paper, we propose a new NIR (NearInfra-Red) lighting face recognition method for mobile phones by using megapixel camera image. This paper presents four advantages and contributions over previous research. First, we propose a new eye detection method for face localization for mobile phones based on corneal specular reflections. To detect these SRs (Specular Reflections) (even for users with glasses), we propose successive On/Off activation of the dual NIR illuminators of mobile phone. Second, because the face image is captured by the NIR illuminator, the nose area can be highly saturated, which can degrade face recognition accuracy. To overcome this problem, we use a simple logarithmic image enhancement method, which is suitable for mobile phones with low processing power. Third, considering the low processing speed of mobile phones, we adopt integer-based PCA (Principal Component Analysis) method for face recognition excluding floating-point operation. Fouth, by comparing the recognition performance using the integer-based PCA to those using LDA (Linear Discriminant Analysis) and ICA (Independent Component Analysis) methods, we could know that the integer-based PCA showed better performance apt for mobile phone with NIR image. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Face recognition

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Platform presentations

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Surgical and radiologic anatomy : SRA 2009年第1期31 Suppl 1卷 49-93页

作者： Jaime Pereda Gen Niimi Jagat Mohini Kaul Sabita Mishra Babita Pangtey Daniele Peri Vincenza Cannella Giovanni Peri A Valentino Francesco Li Volsi Rosaria Lo Verde E Russo A Sciuto Annalisa Sunseri Giuseppe Modica Gianpiero Gravante Seok Ling Ong Matthew Metcalfe David Lloyd Ashley Dennison Veronica Macchi Andrea Porzionato Anna Parenti Raffaele De Caro Kawthar I F Al-Harmni Zohair I F Rahemo Hussain I A Al-Khan Vedat Bakan Gulen Demirpolat Mahmut Bozkurt Yakup Gumusalan Niyazi Acer Mehmet Demir Hulusi Taskoparan Akcan Akkaya Birdal Yildirim Mehmet Camurdanoglu Gul Guven Hilmi Ozden Sahin Kabay Cengiz Ustuner Dilek Burukoglu Derya Ustuner Irfan Degirmenci Fahrettin Akyuz Neslihan Tekin Fulya Kucuk Firdevs Gurer M Cengiz Ustuner Davut Ozbag Mesut Ozkaya Harun Ciralik Fatma Inanc Tolun Fatih Yuzbasioglu Seda Arslan Ghazaleh Moshkdanian Fatemeh Pouya Amirmahdi Nematollahi-Mahani Seyed Noureddin Nematollahi-Mahani Ralph Ger Jeremy Nikfarjam Kathy Dooley Shuwei Liu Zhenping Li Xiangtao Lin Haiwei Meng Cheng Liu Lei Feng Min Suk Chung Dong Sun Shin Eric Havet Anne-Claire Dujardin Fabrice Duparc Pierre Freger Anitha Oommen Christoph Stosch Jürgen Koebke Stefan Herzig Adam Jqbal Paul Gazzani Tim Rattay Birgit Fruhstorfer Anil Vohrah Richard M Wellings Stephen Brydges Gregory R Smith Jamie Roebuck Peter H Abrahams Vaclav Baca Michal Otcenasek Filip Svatos Tereza Smrzova Robert Grill David Kachlik Jan Skubal Valer Dzupa Alena Doubkova Ivo Klepacek Josef Stingl Muddathir Ali Yahya Bedir Günther Weber Karim Malek Amos Patrick Brent Rochambeau Phil Knickelbein Da-Yae Choi Mi-Sun Hur Kwan-Hyun Youn Kyung-Seok Hu Hee-Jin Kim Fadullah Aksoy Yavuz Selim Yildirim Orhan Ozturan Hurtan Acar Hasan Demirhan Bayram Veyseller Jean Michel Prades Andrei Timoshenko Alexander Asanau Marie Gavid Christian Martin Benoit Ayestaray Isabelle Auquit-Auckbur Pierre-Yves Millez Burcu Ercakmak Alp Bayramoglu Hakan Ozsoy Deniz Demiryurek Eray Tuccar Keiichi Akita Kumiko Yamaguchi Atsuo Kato Tomoyuki Mochizuki Julien Beldame Jean-Philippe Mure Benjamin School of Medicine Universidad de Santiago de Chile Santiago Chile. jaime.pereda@usach.cl. Laboratory of Electron Microscopy Fujita Health University Toyoake Aichi Japan. Department of Anatomy Maulana Azad Medical College New Delhi India. Department of Computer Engineering University of Palermo Palermo Italy. Department of Experimental Medicine University of Palermo Palermo Italy. Department of Surgery and Oncology University of Palermo Palermo Italy. Department of Hepatobiliary and Pancreatic Surgery University Hospitals of Leicester Leicester UK. Department of Human Anatomy and Physiology Institute of Anatomy University of Padova Padova Italy. Department of Medical Diagnostic Sciences and Special Therapies Section of Pathology University of Padova Padova Italy. Department of Biology College of Science University of Mosul Mosul Iraq. Department of Pediatric Surgery Kahramanmaras Sutcu Imam University Faculty of Medicine Kahramanmaras Turkey. Department of Radiology Kahramanmaras Sutcu Imam University Faculty of Medicine Kahramanmaras Turkey. Department of Radiology Erzurum Numune State Hospital Erzurum Turkey. Department of Anatomy Kahramanmaras Sutcu Imam University Faculty of Medicine Kahramanmaras Turkey. Department of Anatomy School of Health Sciences Mugla University Mugla Turkey. Vocational School of Higher Education For Health Services Kilis 7 Aralik University Gaziantep Turkey. Department of Urology Mugla Governmental Hospital Mugla Turkey. Department of Anesthesiology Mugla Governmental Hospital Mugla Turkey. Department of Emergency Services Mugla Governmental Hospital Mugla Turkey. Department of Radiology Mugla Governmental Hospital Mugla Turkey. Department of Anatomy Eskisehir Osmangazi University Faculty of Medicine Eskisehir Turkey. Department of Anatomy Eskisehir Osmangazi University Faculty of Medicine Eskisehir Turkey. Department of Urology Dumlupinar University Faculty of Medicine Kutahya Turkey. Department of Medical Bio

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Emotion Interaction System for a Service Robot

Emotion Interaction System for a Service Robot

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Dong-Soo Kwon Yoon Keun Kwak Jong C. Park Myung Jin Chung Eun-Sook Jee Kyung-Sook Park Hyoung-Rock Kim Young-Min Kim Jong-Chan Park Eun Ho Kim Kyung Hak Hyun Hye-Jin Min Hui Sung Lee Jeong Woo Park Su Hun Jo Soon-Young Park Kyung-Won Lee Human-Robot Interaction Research Center KAIST Daejeon South Korea Korea Advanced Institute of Science and Technology Daejeon Daejeon KR Computer Science Division KAIST Daejeon Korea KAIST Human-Robot Interaction Research Center Daejeon Korea Electrical Engineering Division KAIST Daejeon Korea Dept. of Mechanical Engineering KAIST Daejeon Korea Human-Robot Interaction Research Center KAIST Daejeon Korea Department of Composition Hanyang University Seoul South Korea

This paper introduces an emotion interaction system for a service robot. The purpose of emotion interaction systems in service robots is to make people feel that the robot is not a mere machine, but reliable living assistant in the home. The emotion interaction system is composed of the emotion recognition, generation, and expression systems. A user's emotion is recognized by multi-modality, such as voice, dialogue, and touch. The robot's emotion is generated according to a psychological theory about emotion: OCC (Ortony, Clore, and Collins) model, which focuses on the user's emotional state and the information about environment and the robot itself. The generated emotion is expressed by facial expression, gesture, and the musical sound of the robot. Because the proposed system is composed of all the three components that are necessary for a full emotional interaction cycle, it can be implemented in the real robot system and be tested. Even though the multi- modality in emotion recognition and expression is still in its rudimentary stages, the proposed system is shown to be extremely useful in service robot applications. Furthermore, the proposed framework can be a cornerstone for the design of emotion interaction and generation systems for robots.

关键词： Service robots Human robot interaction Emotion recognition Robot sensing systems Cognitive robotics Mechanical engineering Speech recognition Psychology System testing Acoustic sensors

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Estimation of Effects of Visually-Induced Motion Sickness Using Independent Component Analysis

Estimation of Effects of Visually-Induced Motion Sickness Us...

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29th Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBS 2007), vol.14

作者： Makoto Abe Makoto Yoshizawa Norihiro Sugita Akira Tanaka Shigeru Chiba Tomoyuki Yambe Shin-ichi Nitta Graduate School of Engineering University of Tohoku Sendai Japan Research Division on Advanced Information Technology Information Synergy Center University of Tohoku Sendai Japan Faculty of Symbiotic Systems Science Fukushima University Fukushima Japan Sharp Corporation Mihama Chiba Japan Institute of Development Aging and Cancer University of Tohoku Sendai Japan

To quantify the effect of visually-induced motion sickness on the autonomic nervous system, the authors previously proposed a new physiological index ρ{sub}(max) representing the maximum cross-correlation coefficient between blood pressure variability and heart rate variability whose frequency components are limited to the Mayer wave band. However, ρ{sub}(max) requires measurement of continuous blood pressure with an expensive and bulky measuring device. In the present study, an easier method for obtaining ρ{sub}(max) with measurement of neither continuous blood pressure nor ECG but using finger photoplethysmography (PPG) only has been developed. A blood pressure-related parameter was extracted from the PPG by using the independent component analysis. Two experiments in which subjects performed the Valsalva maneuver and then they watched a swaying video image were carried out to evaluate the adequacy of the proposed method. The experimental results have shown that the proposed method worked successfully as good as the conventional method. This means that the proposed method can contribute to increase in the number of subjects because multiple subjects can be used even in a single experiment.

关键词： Motion estimation Motion analysis Independent component analysis Pressure measurement Blood pressure Autonomic nervous system Blood pressure variability Heart rate variability Frequency Electrocardiography

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Face detection with high precision based on radial-symmetry transform and eye-pair checking

Face detection with high precision based on radial-symmetry ...

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IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006

作者： Huang, Yea-Shuan Cheng, Hao-Ying Cheng, Po-Feng Tang, Cheng-Yuan Department of Computer Science and Information Engineering Chung Hua University Taiwan Advanced Technology Center Computer and Communications Research Laboratories Industrial Technology Research Institute Chutung Hsinchu Taiwan Department of Information Management Huafan University Taiwan

ISBN: (纸本)0769526888

In this paper, a novel face detection algorithm is proposed which can detect both face and eye pupils efficiently at the same time. Interestingly, the results of face detection can be used to identify the regions of interest for pupil detection, and the results of pupil detection can be further contributed to detect more precise faces. A cascaded face filter is first constructed by using an adaboosting algorithm, which can rapidly filter out the non-face regions and keeps the possible face regions. Based on a radial-symmetry transform, the signal of eye pupil in a face candidate is considerably enhanced and becomes easy to detect. With an eye-pair checking process, the two pupil candidates are chosen as the outputted pupils if their corresponding face image obtains the highest verification score which is also larger than a predefined threshold. Experiments on the famous BioID face database have shown that 90.0% of faces can be successfully detected, and among the detected faces about 98% of eye pupils are detected with highly acceptable precision. © 2006 IEEE.

关键词： Face recognition

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Workshop on imaging science development for cancer prevention and preemption

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Cancer Biomarkers 2007年第1期3卷 1-33页

作者： Kelloff, Gary J. Sullivan, Daniel C. Baker, Houston Clarke, Lawrence P. Nordstrom, Robert Tatum, James L. Dorfman, Gary S. Jacobs, Paula Berg, Christine D. Pomper, Martin G. Birrer, Michael J. Tempero, Margaret Higley, Howard R. Petty, Brenda Gumbs Sigman, Caroline C. Maley, Carlo Sharma, Prateek Wax, Adam Ginsberg, Gregory G. Dannenberg, Andrew J. Hawk, Ernest T. Messing, Edward M. Grossman, H. Barton Harisinghani, Mukesh Bigio, Irving J. Griebel, Donna Henson, Donald E. Fabian, Carol J. Ferrara, Katherine Fantini, Sergio Schnall, Mitchell D. Zujewski, Jo Anne Hayes, Wendy Klein, Eric A. DeMarzo, Angelo Ocak, Iclal Ketterling, Jeffrey A. Tempany, Clare Shtern, Faina Parnes, Howard L. Gomez, Jorge Srivastava, Sudhir Szabo, Eva Lam, Stephen Seibel, Eric J. Massion, Pierre McLennan, Geoffrey Cleary, Kevin Suh, Robert Burt, Randall W. Pfeiffer, Ruth M. Hoffman, John M. Roy, Hemant K. Wang, Thomas Limburg, Paul J. El-Deiry, Wafik S. Papadimitrakopoulou, Vali Hittelman, Walter N. MacAulay, Calum Veltri, Robert W. Solomonzz, Diane Jeronimo, Jose Richards-Kortum, Rebecca Johnson, Karen A. Viner, Jaye L. Stratton, Steven P. Rajadhyaksha, Milind Dhawan, Atam NIH/NCI/DCTD Cancer Imaging Program Bethesda MD United States NIH/NCI/DCTD Cancer Imaging Program NCI-Frederick Frederick MD United States NIH/NCI/DCP Early Detection Research Group Bethesda MD United States The Johns Hopkins University School of Medicine Departments of Radiology Pharmacology and Oncology Division of Neuroradiology Baltimore MD United States NIH/NCI/CCR Cell and Cancer Biology Branch Bethesda MD United States University of California San Francisco Department of Medicine Division of Medical Oncology San Francisco CA United States CCS Associates Inc. Mountain View CA United States Wistar Institute Molecular and Cellular Oncogenesis Program Philadelphia PA United States University of Kansas School of Medicine VA Hospital Kansas City MO United States Duke University Department of Biomedical Engineering Medical Physics Program Durham NC United States University of Pennsylvania School of Medicine Department of Gastroenterology Philadelphia PA United States New York Presbyterian Hospital Weill Medical College of Cornell University New York NY United States NIH/NCI/OD Office of Centers for Training and Resources Bethesda MD United States University of Rochester Medical Center Department of Urology Rochester NY United States University of Texas MD Anderson Cancer Center Department of Urology Houston TX United States Massachusetts General Hospital Abdominal Imaging/Interventional Radiology Boston MA United States Boston University Biomedical Engineering Electrical and Computer Engineering and Physics Boston MA United States NIH/NCI/DCP Gastrointestinal and Other Cancers Research Group Bethesda MD United States The George Washington University Cancer Institute Office of Cancer Prevention and Control Washington DC United States University of Kansas Cancer Center Clinical Oncology Kansas City KS United States University of California Davis Department of Biomedical Engineering Davis CA United States Tufts University De

The concept of intraepithelial neoplasm (IEN) as a near-obligate precursor of cancers has generated opportunities to examine drug or device intervention strategies that may reverse or retard the sometimes lengthy process of carcinogenesis. Chemopreventive agents with high therapeutic indices, well-monitored for efficacy and safety, are greatly needed, as is development of less invasive or minimally disruptive visualization and assessment methods to safely screen nominally healthy but at-risk patients, often for extended periods of time and at repeated intervals. Imaging devices, alone or in combination with anticancer drugs, may also provide novel interventions to treat or prevent precancer.

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Combination Approaches in Korean information Retrieval: Words vs. n-grams, and Query Translation vs. Document Translation

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International Journal of computer Processing of Languages 2006年第2N03期19卷 153-187页

作者： IN-SU KANG SEUNG-HOON NA JONG-HYEOK LEE Korea Institute of Science and Technology Information (KISTI) Korea Division of Electrical and Computer Engineering Pohang University of Science and Technology (POSTECH) Advanced Information Technology Research Center (AITrc) PIRL 323 Pohang University of Science and Technology San 31Hyoja-dong Nam-gu Pohang 790-784 Korea

Asian language information retrieval has been a challenge to existing information retrieval researchers, since Asian languages have different characteristics from Indo-European languages. For example, Chinese and Japanese lack word delimiters, and Korean does not allow spaces between words within its syntactic unit called Eojeol . In addition, they employ large sets of characters originating from ideographic Chinese characters. Although much research has been conducted on the above Asian languages in order to adapt or confirm existing information retrieval solutions that were developed primarily for English, there have been only a few Korean-related works reported internationally, and most of them have been done on small-scale document collections. Thus, this study presents large-scale retrieval evaluations on Korean to serve as a benchmark for further Korean-related information retrieval researches. In particular, this article investigates the following issues regarding Korean: word-based retrieval vs. n-gram-based retrieval, and query translation vs. document translation. Our monolingual experiments confirmed that, in Korean, n-gram-based and word-based retrieval show different retrieval characteristics for many queries, and that their fusion achieves better performance than either one alone in the case of the probabilistic model. The same was witnessed on query translation and document translation from cross-lingual experiments. In addition, we observed that naive document translation performs slightly better than naive query translation since the former performs query structuring similar to the Pirkola method.

关键词： CJK information retrieval Fusion strategies Cross-language information retrieval Combination of query translation and document translation

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ExaminingCf-ranking Methods for Text Structuring and Pronominalization in Korean

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International Journal of computer Processing of Languages 2006年第1期19卷 39-61页

作者： JI-EUN ROH JONG-HYEOK LEE Division of Electrical and Computer Engineering Pohang University of Science and Technology (POSTECH) Advanced Information Technology Research Center (AITrc) PIRL 323 Pohang University of Science and Technology San 31 Hyoja-dong Nam-gu Pohang 790-784 Korea

centering Theory assumes that entities realized in an utterance can be ranked according to their relative salience degree. This ranking called Cf -ranking (ranking of forward-looking centers) determines the likelihood that the entities realized in an utterance will be the center of the subsequent utterance, and it is one of the central issues in centering literatures. This paper deals with these Cf -ranking issues in Korean at the level of text structuring and pronominalization for coherent text generation. For text structuring, we compare several Cf -ranking methods by examining various centering-based metrics to evaluate local coherence of text, and for pronominalization, we compare them by examining previous rules for centering-based pronoun generation rules and our pronominalization model. In almost all previous works, surface word order was not solely employed for Cf -ranking, instead it was additionally considered to supplement the main ranking scheme based on the fact that linear order does not perform well alone. However, this study shows that due to the characteristics of the Korean language, ranking by surface word order is better than any other ranking method in most centering-based Metrics which depend on Cf -ranking, and it is also reliable in terms of pronominalization accuracy. Additionally we found that based on the Cf -ranking by surface word order, it is the most effective way for text structuring to maximize simply the number of utterance pairs whose first realized nominal entity in adjacent utterances is identical.

关键词： centering Theory Cf -ranking Text structuring centering-based coherence metrics Pronominalization Zero pronoun

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Breath figure templated self-assembly of porous diblock copolymer films

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Physical Review E 2006年第3期73卷 031608-031608页

作者： Aaron E. Saunders Jasper L. Dickson Parag S. Shah Min Young Lee Kwon Taek Lim Keith P. Johnston Brian A. Korgel Department of Chemical Engineering Texas Materials Institute Center for Nano- and Molecular Science and Technology University of Texas Austin Texas 78712 USA Division of Image and Information Engineering Pukyong National University Pusan 608-739 Korea

Porous polyethylene oxide–b–polyfluorooctylmethacrylate (PEO−b−PFOMA) diblock copolymer films were drop cast onto substrates from Freon (1,1,2-trichlorotrifluoroethane) in a humid atmosphere. The pores in the films exhibit long range hexagonal order in some cases, depending on the PFOMA-to-PEO molecular weight ratio. Films with the best ordered pores were formed with PFOMA-to-PEO ratios of 70kDa:2kDa. The pores in the polymer films derive from water droplets that condense as Freon evaporates. The polymer stabilizes the water droplets, or “breath figures,” which act as an immiscible template that molds the porous film. Increased polymer hydrophobicity reduces the water wettability of the air/Freon interface, which in turn decreases water droplet nucleation, thus influencing the final pore size and spatial order in the polymer films. We describe how water droplet nucleation influences the final pore size and packing order in the polymer films.

关键词： Plastic films

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Prediction of modulus by considering distribution of cell shape

Prediction of modulus by considering distribution of cell sh...

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Society of Plastics Engineers Annual Technical Conference 2006, ANTEC 2006

作者： Yamaguchi, Kazumi Goto, Akihiko Ishiaku, Umaru S. Hamada, Hiroyuki Industrial Technology Center of Wakayama Prefecture 60 Ogura Wakayama 649-6261 Japan Department of Information Systems Engineering Osaka Sangyo University 3-1-1 Nakagaito Daito Osaka 574-8530 Japan Division of Advanced Fibro-Science Graduate School Kyoto Institute of Technology Sakyo-ku Kyoto 606-8585 Japan

The distribution of the cell shape in the polyurethane foam was measured by using the image processing method. In addition, the cell shape was simply modeled. The analysis limited within the range of elasticity was done by using this model. As a result, the prediction of the mechanical properties was tried by applying the rule of mixture to the foam. The validity was examined.

关键词： Polyurethanes

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