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16th European Signal Processing Conference, EUSIPCO 2008

作者： Vretos, Nicholas Solachidis, Vassilios Somol, Petr Pitas, Ioannis Computer Science Department Aristotle University of Thessaloniki University Campus 54124 Thessaloniki Greece Dept. of Pattern Recognition Inst. of Information Theory and Automation CAS Pod vodárenskou věží 4 Prague 8 18208 Czech Republic

In this paper we introduce a newmethod for facial expression recognition. In order to be able to recognize the six main facial expressions [1] we use a grid approach and therefore we establish our new feature space based on the angles that each grid's edge form. This way we undertake several affine transformations such as translation, rotation and scaling which in other approaches are considered very harmful in the overall accuracy of a facial expression recognition algorithm. We will therefore demonstrate how we create this feature space, as well as how we apply a feature selection process within this space. The angular nature of the data impose some considerations which will be clarified in this paper. copyright by EURASIP.

关键词： Face recognition

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Facial expression recognition using angle-related information from facial meshes

Facial expression recognition using angle-related informatio...

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European Signal Processing Conference (EUSIPCO)

作者： Nicholas Vretos Vassilios Solachidis Petr Somol Ioannis Pitas Computer Science Department Aristotle University of Thessaloniki Thessaloniki Greece Dept. of Pattern Recognition Inst. of Information Theory and Automation Czech Republic

ISBN: (纸本)9782839904506

In this paper we introduce a new method for facial expression recognition. In order to be able to recognize the six main facial expressions [1] we use a grid approach and therefore we establish our new feature space based on the angles that each grid's edge form. This way we undertake several affine transformations such as translation, rotation and scaling which in other approaches are considered very harmful in the overall accuracy of a facial expression recognition algorithm. We will therefore demonstrate how we create this feature space, as well as how we apply a feature selection process within this space. The angular nature of the data impose some considerations which will be clarified in this paper.

关键词： Face Support vector machines Face recognition Accuracy Feature extraction Signal processing algorithms Vectors

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Fitted Q-iteration in continuous action-space MDPs

Fitted Q-iteration in continuous action-space MDPs

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21st Annual Conference on Neural Information Processing Systems, NIPS 2007

作者： Antos, András Munos, Rémi Szepesvári, Csaba Computer and Automation Research Inst. Hungarian Academy of Sciences Kende u. 13-17 Budapest 1111 Hungary SequeL Project-team INRIA Lille 59650 Villeneuve d'Ascq France Department of Computing Science University of Alberta Edmonton T6G 2E8 Canada

ISBN: (纸本)160560352X

We consider continuous state, continuous action batch reinforcement learning where the goal is to learn a good policy from a sufficiently rich trajectory generated by some policy. We study a variant of fitted Q-iteration, where the greedy action selection is replaced by searching for a policy in a restricted set of candidate policies by maximizing the average action values. We provide a rigorous analysis of this algorithm, proving what we believe is the first finite-time bound for value-function based algorithms for continuous state and action problems.

关键词： Iterative methods

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Modified quantization index modulation watermarking adaptive to contrast masking thresholds

Modified quantization index modulation watermarking adaptive...

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1st International Conference on Communications and Networking in China, ChinaCom '06

作者： Guoxi, Wang Lihong, Ma. Kang, Cai Hanqing, Lu GD Key Lab. of Computer Network Dept.of Electronic Engineering South China Univ. of Tech. Guangzhou 510641 China National Lab. of Pattern Recognition Inst. Automation China Academy of Science Beijing 100080 China Guangdong Telecom.

ISBN: (纸本)1424404630

In this paper, we suggest an adaptive watermarking method to improve both transparence and robustness of quantization index modulation (QIM) scheme. inst.ad of a fixed quantization step size, we apply a step size adapted to image content in each 8×8 block to make a balance of the robustness extraction and the transparence of embedding. The modified steps are determined by the contrast masking thresholds of Watson's perceptual model. From normalized cross correlation between the original watermark and the detected watermark, we observe that it is robust to attacks of additive white Gaussian noise, salt & pepper noise, JPEG compression than the original QIM. © 2006 IEEE.

关键词： Digital watermarking

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Weighted Centroid Localization in Zigbee-based Sensor Networks

Weighted Centroid Localization in Zigbee-based Sensor Networ...

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IEEE International Symposium on Intelligent Signal Processing

作者： Jan Blumenthal Ralf Grossmann Frank Golatowski Dirk Timmermann Faculty of Computer Science and Electrical Engineering Institute of Applied Microelectronics and CE Warnemunde Germany Inst. of Appl. Microelectron. & CE Rostock CELISCA Center for Life Science Automation University of Rostock Germany

ISBN: (纸本)9781424408290;1424408296

Localization in wireless sensor networks gets more and more important, because many applications need to locate the source of incoming measurements as precise as possible. Weighted centroid localization (WCL) provides a fast and easy algorithm to locate devices in wireless sensor networks. The algorithm is derived from a centroid determination which calculates the position of devices by averaging the coordinates of known reference points. To improve the calculated position in real implementations, WCL uses weights to attract the estimated position to close reference points provided that coarse distances are available. Due to the fact that Zigbee provides the link quality indication (LQI) as a quality indicator of a received packet, it can also be used to estimate a distance from a node to reference points.

关键词： Wireless sensor networks ZigBee Time measurement Intelligent sensors Signal processing automation computer science Microelectronics Application software Electric variables measurement

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Fitted Q-iteration in continuous action-space MDPs 07

Fitted Q-iteration in continuous action-space MDPs

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Proceedings of the 20th International Conference on Neural Information Processing Systems

作者： András Antos Rémi Munos Csaba Szepesvári Computer and Automation Research Inst. of the Hungarian Academy of Sciences Budapest Hungary SequeL project-team INRIA Lille Villeneuve d'Ascq France Department of Computing Science University of Alberta Edmonton Canada

ISBN: (纸本)9781605603520

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Enhanced Diffusion by Projected Curvelet for Segmentation without Guiding Information

Enhanced Diffusion by Projected Curvelet for Segmentation wi...

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IEEE International Conference on Signal Processing and Communications, ICSPC

作者： Lihong Ma Yu Zhang Hanqing Lu Department of Electronic Engineering and Communication RICA GDKey Laboratory of Computer Network South China University of Technology Guangzhou China Inst. Automation China Academy of Science National Laboratory of Pattern Recognition Beijing China

In this paper, we present a new segmentation model, which makes uses of Curvelet's advantages of edge preserving and noise averaging. The model first applies Lorentzian-function based diffusion for stable pixel clustering, and then projects boundaries by Curvelet transform (CT) to enhance edges and modify region smear in diffusion. In particular, we also propose a criterion to seek the appropriate moment for CT enhancement, it is fulfilled by comparing partition results of Lorentzian and Tukey-based functions. If the number of reduced regions between two adjacent segmentation rounds arrives a threshold, CT will be performed to prevent edge disappearing. Experiments show that this significant segmentation is resulted from CT's properties of boundary keeping and denoising, the method is superior to many other PDE approaches.

关键词： Image segmentation Computed tomography Image edge detection Anisotropic magnetoresistance Active contours Partial differential equations Signal processing Laboratories computer networks Pattern recognition

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Automatic annotation of location information for WWW images

IEEE International Conference on Multimedia and Expo, ICME 2...

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IEEE International Conference on Multimedia and Expo, ICME 2005 2005年 2005卷 771-774页

作者： Hua, Zhigang Wang, Chuang Xie, Xing Lu, Hanqing Wei-Ying, Ma. Microsoft Research Asia 5/F Sigma Center No. 49 Zhichun Road Beijing 100080 China Inst. of Automation Chinese Academy of Sciences P.O. Box 2878 Beijing 100080 China Dept. of Computer Science Huazhong Univ. of Science and Technology Wuhan 430074 China

ISBN: (纸本)0780393325

Currently, a crucial challenge is raised on how to manage a large amount of images on the Web. Due to a real synergy between an image and its location, we propose an automatic solution to annotate contextual location information for WWW images. We construct an image importance model to acquire the dominant images in a page that comprise contextual surrounding text. For each acquired image, we develop an effective algorithm to compute location from its contextual text. We apply our approach to 1,000 pages from various web sites for image location annotation. The experiments demonstrated that more than 30% WWW images are related with geographic location information, and our solution can achieve the satisfactory results. Finally, we present some potential applications involving the utilization of image location information. © 2005 IEEE.

关键词： Image analysis

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The B method and the component-based approach

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Journal of Integrated Design and Process science 2004年第1期8卷 65-76页

作者： Petit, Dorian Poirriez, Vincent Mariano, Georges Lab. of Indust. and Human Automation Mechanics and Computer Science Valenciennes University Valenciennes France Natl. Inst. Transp. and Safety Res. Villeneuve d'Ascq France

The aim of this paper is to merge two approaches of software development: the component approach and the formal development approach. Developing software components is now a technique widely used by the software industry. These two approaches are not so distant if we consider Bertrand Meyer's opinion: it is more complicated to reuse a component without contracts. One of the difficulties with the design by contract approach is to find the contracts. This difficulty can be removed by the use of the B method. In the B method, the software properties (the contracts) are expressed in the specifications. We present in this paper an approach to generate code in the spirit of the component approach from B specifications.

关键词： Software engineering

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Robust occupancy detection from stereo images

Robust occupancy detection from stereo images

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Proceedings - 7th International IEEE Conference on Intelligent Transportation Systems, ITSC 2004

作者： Alefs, Bram Clabian, Markus Bischof, Horst Kropatsch, Walter Khairallah, Farid Adv. Comp. Vision GmbH ACV Vienna Donau-City-Strasse 1 A-1220 Vienna Austria Advanced Computer Vision GmbH ACV Farmington Hills MI 48335 United States Inst. for Comp. Graphics and Vision Graz University of Technology Inffeldgasse 16 2. OG A-8010 Graz Austria Computer Science Department Inst. of Computer Aided Automation Vienna University of Technology Favoritenstrasse 9/1832 A-1040 Vienna Austria TRW Automotive 24175 Research Drive Farmington Hills MI 48335 United States

Vehicle occupants that are out-of-position can be deadly injured by the deployment of the air bag in a crash situation. In recent years many different sensors and systems have been proposed to detect the type of occupant and the position of the occupant's head. This paper presents a method for classification and occupant's head detection based on passive stereo vision. The proposed system uses depth surface analysis and scene statistics together with support vector machines for classification and selection of head candidates. Evaluation of the method shows 99% correct for classification and 98% correct for head detection, using large sets of image data, and image sequences recorded in a driving vehicle.

关键词： Stereo vision

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