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Multiscale Face Detection: A New Approach to Robust Face Detection

Multiscale Face Detection: A New Approach to Robust Face Det...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： M. Aghagolzadeh H. Soltanian-Zadeh B.N. Araabi Department of Electrical and Computer Engineering University of Tehran Tehran Iran Radiologyimageanalaysis laboratory Henry Ford Health System Detroit MI USA Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

This paper presents a novel method for detecting multiple frontal faces in still images using multi-scale processing. The main characteristic of this algorithm is its stability in detecting faces with seldom false detections and a high correct detection rate. The novelty of this work comes from the utilization of multiscale detection and using two classifiers to reduce false detections. The algorithm generally has two stages: in the first stage, a face is detected in a unique scale and in the second stage, only the faces that are located in the neighbor scales are accepted as real faces. Consequently, a still image is first resized and scanned block wise, and then each enhanced block is tested for being face. One dimensional Harr wavelet is used for feature extraction, which gives appropriate discriminating features between the face and nonface classes. Detection results at each scale are accumulated in an internal database, so the ultimate detection is prepared based on the mutual detection information between consequent scales. To parameterize both the Bayesian and the simple proposed classifier, 2,643 faces were congregated from famous face databases and more than 10,000 non-face samples were selected from nature images. Experimental results using images gathered from known databases like MIT-CMU show great ability of the proposed algorithm in detecting faces.

关键词： Face detection Robustness Image databases Bayesian methods Humans Application software Stability Feature extraction Spatial databases computer vision

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An Efficient Early Termination Algorithm of Intra Prediction for H.264/AVC

An Efficient Early Termination Algorithm of Intra Prediction...

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International Conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Rui Yang Hong Lu Xiangyang Xue Yap-Peng Tan Shanghai Key Laboratory of Intelligent Information Processing Department of Computer Science & Engineering Fudan University Shanghai China School of Electrical and Electronic Engineering Nanyang Technological University Singapore

We propose in this paper an efficient early termination algorithm of intra prediction for H.264/AVC. It uses the spatial correlation after 16times16 inter prediction to make the judgement on whether to discard intra prediction or not. Experimental results demonstrate that the proposed algorithm can save the encoding time of H.264/AVC (JM98) between 25-45% with negligible degradation in the quality

关键词： Prediction algorithms Automatic voltage control Lagrangian functions Partitioning algorithms Degradation Length measurement Video sequences Laboratories Information processing computer science

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New robust ICI estimation using distributive PM-sequences in OFDM systems

New robust ICI estimation using distributive PM-sequences in...

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IEEE Conference on Wireless Communications and Networking

作者： Hsiao-Chun Wu Songnan Xi Yiyan Wu Communications and Signal Processing Laboratory Department of Electrical and Computer Engineering Louisiana State University Baton Rouge USA Communications Rcscarch Centre Ottawa ONT Canada

The intercarrier interference (ICI) matrix for the orthogonal frequency division multiplexing (OFDM) systems usually has a fairly large dimension and changes over time for mobile communications. Obviously, the traditional least-square solution for the ICI matrix estimation based on the pseudo-inverse operation has its limitation. In addition, the provision of a sufficiently long training sequence to estimate the complete ICI matrix is not feasible, since it will result in severe throughput reduction. In this paper, we design padded maximum-length shift-register sequences (pm-sequences) to serve as the training sequences for the ICI estimation. Such new training sequences will induce the diagonal correlation matrices which can lead to the optimal estimation. We propose a new distributive allocation scheme of short pm-sequences for the ICI estimation with a linear ICI estimate interpolation, which can lead to the multi-ICI-vector estimation to combat the realistic non-circulant ICI matrix problem, where almost all other existing schemes such as the ICI matrix estimation using the Hadamard sequences, the convolutional coder/decoder and the ICI self-cancellation coder/decoder could not perform effectively

关键词： Robustness OFDM Decoding Interference Mobile communication Throughput Interpolation Error correction Error correction codes Convolutional codes

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Expression Compensation for Face Recognition Using a Polar Geodesic Representation

Expression Compensation for Face Recognition Using a Polar G...

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International Symposium on 3D Data processing Visualization and Transmission

作者： Iordanis Mpiperis Sotiris Malassiotis Michael G. Strintzis Centre for Research and Technology Hellas Informatics and Telematics Institute Thessaloniki Greece Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

This paper addresses the problem of face recognition in the presence of facial deformations caused by expressions. An isometric mapping between surfaces is assumed, which allows preservation of geodesic distance between facial points. Subject to this assumption, we propose a novel technique which integrates 2D and 3D information to establish a new deformation invariant representation of the face. The 3D surface is used to define a polar geodesic coordinate space which is independent of the intrinsic geometry of the face. The corresponding color image is embedded in this space and serves as the recognition data. A preceding stage of hierarchical diffeomorphic grid-based image warping before the recognition process combined with a lip segmentation technique are also employed to increase the overall performance of the algorithm.

关键词： Face recognition Image recognition Geophysics computing Color Humans Face detection Multidimensional systems Geometry Image segmentation Biometrics

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An Over-Complete Independent Component Analysis (ICA) Approach to Magnetic Resonance Image Analysis

An Over-Complete Independent Component Analysis (ICA) Approa...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Jing Wang C.-I. Chang Hsiang Ming Chen C.C.-C. Chen Jyh Wen Chai Yen-Chieh Ouyang Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD USA Department of Electrical Engineering National Chung Hsing University Taichung Taiwan Department of Radiology Taichung Veterans General Hospital Taichung Taiwan

This paper presents a new application of independent component analysis (ICA) in magnetic resonance (MR) image analysis. One of most successful applications for ICA-based approaches in MR imaging is functional MRI (fMRI) which basically deals with one-dimensional temporal signals. The ICA approach proposed in this paper is rather different and considers a set of MR images acquired by different pulse sequences as a 3-dimensional image cube and performs image analysis rather than signal analysis. One major difference between the fMRI-based ICA approaches and our proposed ICA-based image analysis is that the ICA used in the former is undercomplete as opposed to the latter which uses over-complete ICA. Such a fundamental difference results in completely different applications

关键词： Independent component analysis Magnetic resonance Image analysis Image sequence analysis Magnetic resonance imaging Signal processing Image processing Principal component analysis Pixel Remote sensing

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FPGA implementation of point multiplication on Koblitz curves using kleinian integers 1

引用

8th International Workshop on Cryptographic Hardware and Embedded Systems, CHES 2006

作者： Dimitrov, V.S. Järvinen, K.U. Jacobson Jr., M.J. Chan, W.F. Huang, Z. Department of Electrical and Computer Engineering University of Calgary 2500 University Drive NW Calgary Alta. T2N 1N4 Canada Signal Processing Laboratory Helsinki University of Technology Otakaari 5A 02150 Espoo Finland Department of Computer Science University of Calgary 2500 University Drive NW Calgary Alta. T2N 1N4 Canada

ISBN: (数字)9783540465614

ISBN: (纸本)3540465596

We describe algorithms for point multiplication on Koblitz curves using multiple-base expansions of the form k = Σ±τa(τ - 1)b and k = Σ±τa(τ - 1) b(τ2 - τ -1)c. We prove that the number of terms in the second type is sublinear in the bit length of k, which leads to the first provably sublinear point multiplication algorithm on Koblitz curves. For the first type, we conjecture that the number of terms is sublinear and provide numerical evidence demonstrating that the number of terms is significantly less than that of τ-adic non-adjacent form expansions. We present details of an innovative FPGA implementation of our algorithm and performance data demonstrating the efficiency of our method. © International Association for Cryptologic Research 2006.

关键词： Field programmable gate arrays

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The robot software communications architecture (RSCA): embedded middleware for networked service robots 06

The robot software communications architecture (RSCA): embed...

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International Symposium on parallel and Distributed processing (IPDPS)

作者： Seongsoo Hong Jaesoo Lee Hyeonsang Eom Gwangil Jeon Real-Time Operation Systems Laboratory School of Electrical Engineering and Computer Science Seoul National University of Technology Seoul South Korea Distributed Information Processing Laboratory School of Computer Science and Computer Engineering Seoul National University of Technology Seoul South Korea Department of Computer Engineering Korea Polytechnic University Siheung Gyeonggi South Korea

ISBN: (纸本)9781424400546

In this paper, we present a robot middleware technology named robot software communications architecture (RSCA) for its use in networked home service robots. The RSCA provides a standard operating environment for the robot applications together with a framework that expedites the development of such applications. The operating environment is comprised of a real-time operating system, a communication middleware, and a deployment middleware. Particularly, the deployment middleware supports the reconfiguration of component-based robot applications including installation, creation, start, stop, tear-down, and un-installation. In designing RSCA, we have adopted a middleware called SCA from the software defined radio domain and extend it since the original SCA lacks the real-time guarantees and appropriate event services. We have fully implemented RSCA and performed measurements to quantify its run-time performance. Our implementation clearly shows the viability of RSCA

关键词： Embedded software computer architecture Middleware Service robots Application software Standards development Real time systems Operating systems Software radio Performance evaluation

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Rate-Distortion Optimized Image Compression Using Generalized Principal Component Analysis

Rate-Distortion Optimized Image Compression Using Generalize...

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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Dohyun Ahn Chang-Su Kim Sang-Uk Lee Signal Processing Laboratory School of Electrical Engineering and Computer Science Seoul National University Seoul South Korea Department Electronics Eng. Korea University Seoul South Korea

A novel image compression algorithm based on generalized principal component analysis (GPCA) is proposed in this work. Each image block is first classified into a subspace and is represented with a linear combination of the basis vectors for the subspace. Therefore, the encoded information consists of subspace indices, basis vectors and transform coefficients. We adopt a vector quantization scheme and a predictive partial matching scheme to encode subspace indices and basis vectors, respectively. We also propose a rate-distortion optimized quantizer to encode transform coefficients efficiently. Simulation results demonstrate that the proposed algorithm provides better compression performance than JPEG, especially at low bitrates

关键词： Rate-distortion Image coding Principal component analysis Clustering algorithms Signal processing algorithms Vector quantization Bit rate Entropy computer science Transform coding

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A Key Frame Selection-Based Facial Expression Recognition System

A Key Frame Selection-Based Facial Expression Recognition Sy...

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International Conference on Innovative Computing, Information and Control (ICICIC)

作者： S.M. Guo Y.A. Pan Y.C. Liao C.Y. Hsu J.S.H. Tsai C.I. Chang Department of Computer Science and Information Engineering National Engineering Kung University Tainan Taiwan Department of Computer Science and Information Engineering National Cheng-Kung University Tainan Taiwan Republic of China Department of Computer Science and Electrical Engineering University of Maryland Baltimore County (UMBC) Baltimore MD U.S.A. National Cheng Kung University Tainan TW Department of Electrical Engineering National Engineering Kung University Tainan Taiwan Department of Electrical Engineering National Cheng-Kung University Tainan Taiwan Republic of China Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore Baltimore MD USA

Automatic recognition of facial expressions has received considerable interest in the computer vision. This paper presents a key frame selection-based system for recognition of four basic facial expressions: happiness, anger, sadness and surprise, in image sequences. The proposed new approach is designed for recognition of facial expressions via a key frame selection of the facial motion from an image sequence where an optical flow is used to determine changes in a facial expression, experimental results demonstrate that the proposed automatic recognition process significantly improves the computational complexity encountered in facial expression recognition while enhancing the ability of recognition

关键词： Face recognition Face detection Image recognition Image sequences Feature extraction Facial features computer science Remote sensing Signal processing Image processing

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Adaptive Arrays for Broadband Communications in the Presence of Co-Channel Interference

Adaptive Arrays for Broadband Communications in the Presence...

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Asilomar Conference on Signals, Systems & computers

作者： Xiayu Zheng Petre Stoica Jian Li Renbiao Wu Department of Electrical and Computer Engineering University of Florida Gainesville FL USA Department of Information Technology University of Uppsala Uppsala Sweden Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin China

We present an adaptive detection (AD) for broadband communication in the presence of co-channel interference (CCI). In the case of imperfect channel estimation, a robust AD (RAD) is proposed to maintain the good performance. We also show that both AD and RAD can be further improved by using an iterative scheme, referred to as iterative AD (IAD) and iterative RAD (IRAD), respectively. Numerical examples show that all the proposed methods outperform the conventional maximum likelihood sequence estimator (MLSE) significantly, and that they are also computationally more efficient.

关键词： Adaptive arrays Broadband communication Interchannel interference Radiofrequency interference Maximum likelihood estimation Robustness Signal processing algorithms Viterbi algorithm Array signal processing Information technology

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