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Shape reconstruction of human foot from multi-camera images based on PCA of human shape database

Shape reconstruction of human foot from multi-camera images ...

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International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)

作者： Jiahui Wang H. Saito M. Kimura M. Mochimaru T. Kanade Department of Information and Computer Science Keio University Japan Digital Human Research Center National Institute for Advanced Industrial Science and Technology Japan

Recently, researches and developments for measuring and modeling of human body are taking much attention. Our aim is to capture accurate shape of human foot, using 2D images acquired by multiple cameras, which can capture dynamic behavior of the object. In this paper, 3D active shape models is used for accurate reconstruction of surface shape of human foot. We apply principal component analysis (PCA) of human shape database, so that we can represent human's foot shape by approximately 12 principal component shapes. Because of the reduction of dimensions for representing the object shape, we can efficiently recover the object shape from multi-camera images, even though the object shape is partially occluded in some of input views. To demonstrate the proposed method, two kinds of experiments are presented: high accuracy reconstruction of human foot in a virtual reality environment with CG multi-camera images and in real world with eight CCD cameras. In those experiments, the recovered shape error with our method is around 2mm, while the error is around 4mm with volume intersection method.

关键词： humans Image reconstruction Foot Principal component analysis Image databases Active shape model Research and development Biological system modeling Cameras Surface reconstruction

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A portfolio selection by SOM and an asset allocation of risk/nonrisk assets by fuzzy reasoning using the selected brands

A portfolio selection by SOM and an asset allocation of risk...

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IEEE International Conference on Systems, Man and Cybernetics

作者： I. Nakaoka K. Tani Y. Hoshino K. Kamei Graduate School of Science and Engineering Ritsumeikan University Kusatsu Shiga JAPAN Graduate School of Science and Engineering Ritsumeikan University Kusatsu Shiga Japan Department of Human and Computer Intelligence Ritsumeikan University Kusatsu Shiga Japan Department of Human and Computer Intelligence Ritsumeikan University Kusatsu Shiga JAPAN

A portfolio is an useful method to calculate the rate of expected earnings and risks based on changes in stock prices. However, past methods such as the fundamental analysis, the technical analysis and etc. are not proposed as a decision support system available for real investments. On the other hand, speaking about the asset allocation, those methods determine asset allocation ratio using general indices such as TOPIX independently of the portfolio selections. This paper describes a novel decision support system for assisting in actual investment decisions. First, the system makes a stock investment brand selection using SOM (self-organizing maps). Secondly, the system calculates asset allocation ratio of risk/nonrisk assets using both fuzzy reasoning and the management indices of the brands selected by SOM. We apply this method to actual stock price data and show better results than those by TOPIX. Finally, we discuss an effectiveness of the proposed support system against a steep fall in stock prices, such as IT Bubble collapse that began in 2000.

关键词： Portfolios Asset management Fuzzy reasoning Investments Decision support systems humans Competitive intelligence Government Risk management Fuzzy systems

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Analysis of the 3D trajectory of absolute motion of an object using a motionless monocular camera

Analysis of the 3D trajectory of absolute motion of an objec...

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Optomechatronic Machine Vision

作者： Viet, Huynh Quang Huy Sato, Makoto Tanaka, Hiromi T. Department of Human and Computer Intelligence College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji-higashi Kusatsu Shiga 525-8577 Japan Precision and Intelligence Laboratory Tokyo Institute of Technology 4259 Nagatsuta Midori-ku Yokohama 226-8503 Japan

Based on the triangulation method, the 3D motion of an object can be completely recognized by a stereo camera. However, the question whether or not the 3D motion of an object can be completely recognized by a motionless / fixed monocular camera is the yet-unanswered question. In this paper we propose a method using a motionless monocular camera of which the focus is changed in cycle to recognize the absolute 3D motion of an object. We name the method motion from focus.

关键词： Object recognition

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A hands-off physical therapy assistance robot for cardiac patients

A hands-off physical therapy assistance robot for cardiac pa...

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IEEE International Conference on Rehabilitation Robotics (ICORR)

作者： Kyong Il Kang S. Freedman M.J. Mataric M.J. Cunningham B. Lopez Interaction Laboratory Computer Science Department University of Southern California Los Angeles CA USA Department of Cardiothoracic Surgery Keck School of Medicine University of Southern California Los Angeles CA USA

This paper presents a feasibility study of using socially-aware autonomous robots to assist hospitals in reducing the effects of nursing shortages. A hands-off assistive robot is described that provides motivation and support for cardiac patients who must perform regular but painful breathing exercises. Initial validation of the system has garnered positive responses from test subjects and shows that robots have a potential to aid nursing staff in some tasks requiring patient interaction.

关键词： Medical treatment Mobile robots Rehabilitation robotics Medical robotics Medical services Hospitals Senior citizens Surgery Aging Navigation

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Soft remote control system in the intelligent sweet home

Soft remote control system in the intelligent sweet home

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作者： Do, Jun-Hyeong Jang, Hyoyoung Jung, Sung Hoon Jung, Jinwoo Bien, Zeungnam Department of Electrical Engineering and Computer Science Korea Advanced Institute of Science and Technology 373-1 Guseong-dong Yuseong-gu Daejeon 305-701 Korea Republic of Human-Friendly Welfare Robot System Research Center Korea Advanced Institute of Science and Technology 373-1 Guseong-dong Yuseong-gu Daejeon 305-701 Korea Republic of

ISBN: (纸本)0780389123

In this paper, we describe the "Soft Remote Control System" that provides easy control of home installed appliances to improve the inhabitant's comfort. This system is feasible to control various home appliances naturally by recognizing the user's hand gestures in the "Intelligent Sweet Home." The user selects the device that he/her wants to control by pointing it with his/her hand. Then, the user can command operation of the desired function via a predefined hand gesture. The approach complements the inconvenience of the conventional remote controllers giving additional freedom to persons with movement deficits and people without disabilities. © 2005 IEEE.

关键词： Remote control

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human Mental Models of humanoid Robots

Human Mental Models of Humanoid Robots

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Sau-lai Lee Ivy Yee-man Lau S. Kiesler Chi-Yue Chiu Human Computer Interaction Institute Carnegie Mellon University Pittsburgh PA USA Department of Psychology University of Hong Kong Pokfulam Hong Kong China Department of Psychology University of Illinois Urbana-Champaign Champaign IL USA

Effective communication between a person and a robot may depend on whether there exists a common ground of understanding between the two. In two experiments modelled after human-human studies we examined how people form a mental model of a robot’s factual knowledge. Participants estimated the robot’s knowledge by extrapolating from their own knowledge and from information about the robot’s origin and language. These results suggest that designers of humanoid robots must attend not only to the social cues that robots emit but also to the information people use to create mental models of a robot.

关键词： Cognitive science humanoid robots human robot interaction Psychology Interactive systems human computer interaction Communication effectiveness Animals computer applications Robotics and automation

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Turning information visualization innovations into commercial products: lessons to guide the next success

Turning information visualization innovations into commercia...

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IEEE Symposium on Information Visualization (INFOVIS)

作者： B. Shneiderman R. Rao K. Andrews C. Ahlberg D. Brodbeck T. Jewitt J. Mackinlay Department of Computer Science & Human-Computer Interaction Laboratory Institute for Advanced Computer Studies College Park MD USA Inxight Software Inc. Sunnyvale CA USA Graz University of Technology IICM Graz Austria Spotfire Inc. Somerville MA USA Macrofocus GmbH Zurich Switzerland The Hive Group San Mateo CA USA User Interface Tableau Software Seattle WA USA

As information visualization matures as an academic research field, commercial spinoffs are proliferating, but success stories are harder to find. This is the normal process of emergence for new technologies, but the panel organizers believe that there are certain strategies that facilitate success. To teach these lessons, we have invited several key figures who are seeking to commercialize information visualization tools. The panelists make short presentations, engage in a moderated discussion, and respond to audience questions.

关键词： Turning Technological innovation Data visualization User interfaces Books Management training computer science Laboratories computer interfaces Educational institutions

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Peer-to-peer based social interaction tools in ubiquitous learning environment

Peer-to-peer based social interaction tools in ubiquitous le...

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Guozhen Zhang Qun Jin T.K. Shih Department of Human Informatics and Cognitive Sciences Waseda University Tokorozawa Saitama Japan Department of Computer Science and Information Engineering Tamkang University Taipei Taiwan

This paper discusses a fundamental notion and model of ubiquitous computing technology support learning (uLearning) system. In order to increase learners' social skills and support social interaction among learners, the authors design a collection of support tools; these tools serve for three processes: encounter, communication and collaboration. Furthermore, prototyping implementation of the social interaction support tools is introduced.

关键词： Peer to peer computing Pervasive computing Ubiquitous computing Personal digital assistants Prototypes Microprocessors computer science education Handheld computers Mobile handsets Radiofrequency identification

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One decade of statistical machine translation: 1996-2005

One decade of statistical machine translation: 1996-2005

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IEEE Workshop on Automatic Speech Recognition and Understanding

作者： H. Ney Human Language Technology and Pattern Recognition Lehrstuhl fur Informatik VI-Computer Science Department RWTH Aachen University Aachen Germany

In the last decade, the statistical approach has found widespread use in machine translation both for written and spoken language and has had a major impact on the translation accuracy. The goal of this paper is to cover the state of the art in statistical machine translation. We would re-visit the underlying principles of the statistical approach to machine translation and summarize the progress that has been made over the last decade

关键词： Natural languages Context modeling Hidden Markov models Speech humans Pattern recognition computer science Transducers Tides Vocabulary

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Convergence of coherent components of neural networks by positive correlation learning

Convergence of coherent components of neural networks by pos...

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International Joint Conference on Neural Networks (IJCNN)

作者： M. Shahjahan M.M. Kabir K. Murase Department of Human and Artificial Intelligence Systems University of Fukui Fukui Japan Department of Computer Science and Engineering Dhaka University of Engineering and Technology Gazipur Bangladesh

We propose a training algorithm for multi-layered neural-network (NN) classifiers that improves the generalization ability, the ability to classify previously unseen patterns. A correlation term was added to the error function of the standard back-propagation (BP) learning algorithm, and a new weight update rule was derived. The correlation term was to make hidden node activations positively correlated, and thus we called the algorithm the positive correlation learning (PCL). The PCL was tested with the standard benchmark problems, the breast cancer and diabetes problems, and the results exhibited that it can produce networks with high generalization ability. It has been known that the minimization of the information in hidden node activations, as well as decaying weights, improves the generalization performance. We here show empirically that the PCL not only reduces the information but also decays the weights effectively

关键词： Convergence Neural networks Learning Electronic mail humans Artificial intelligence Testing Inference algorithms Artificial neural networks computer science

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