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WRI International Conference on Communications and Mobile Computing, CMC

作者： Zhenbing Liu Jianguo Liu Guoyou Wang Key Laboratory of Education Ministry for Image Processing and Intelligent Control State Key Laboratory of Multispectral Information Processing Technologies Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

Discrete Hartley transform (DHT) is an important tool in digital signal processing. In this paper, based on our previous work of performing DHT via linear sums of discrete moments, we have made development to eliminate multiplications in discrete Hartley transforms by performing appropriate bit operations and shift in binary system, which can be implemented by integer additions of fixed points. An efficient and regular systolic array is designed to implement it, and the complexity analysis is also given. Different to other fast Hartley transforms, our algorithm can deal with arbitrary length signals and get high precision. The approach is also applicable to multi-dimensional DHT and DHT inverses.

关键词： Discrete transforms Signal processing algorithms Digital signal processing Systolic arrays Laboratories Educational technology Very large scale integration Hardware Mobile communication Mobile computing

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Environmental features based confidence measure for speech recognition

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Qinghua Daxue Xuebao/Journal of Tsinghua University 2009年第SUPPL. 1期49卷 1388-1392页

作者： Guo, Yujing Liu, Gang Liu, Jian Guo, Jun Pattern Recognition and Intelligent System Laboratory Beijing University of Telecommunication and Posts Beijing 100876 China

Traditional confidence measures for speech recognition include classification based on the static features that ignores the environmental information around the words. This paper presents three kinds of environmental information features for recognition result based on the context and dynamic and global features, to give a general description in time and space of the relationship between words and their environments. Tests show that the combined static and environmental features give better performances than just static features, and relative improvements of 5.02% using a binary combination and 6.11% using a ternary combination. The results show that the environmental features are valuable and are to some extent independent from each other.

关键词： Speech recognition

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Improvement and invariance analysis of Zernike moments using as a region-based shape descriptor

Improvement and invariance analysis of Zernike moments using...

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Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI)

作者： Ye Bin Peng Jia-xiong Institute for Pattern Recognition & Artificial Intelligence State Key Laboratory For Image Processing & Intelligent Control Huazhong University of Science슠and슠Technology Wuhan Hubei China

An improved Zernike moment using as a region-based shape descriptor is presented. The improved Zernike moment not only has rotation invariance, but also has scale invariance that the unimproved Zernike moment does not have. The experimental results show that the improved Zernike moment has better invariant properties than unimproved Zernike moment using as region-based shape descriptor.

关键词： Shape Image processing Image retrieval Image databases Multi-stage noise shaping intelligent control pattern recognition Artificial intelligence Content based retrieval Trademarks

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Camera Calibration for 3D Color Scanning system Using Virtual 3D Model

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Computer Aided Drafting,Design and Manufacturing 2007年第2期17卷 77-81页

作者： SUN Xian-bin LI De-hua YIN Jie YAO Xun State Key Laboratory for Image Processing and Intelligent Control Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Hubei University of Technology Wuhan 430068 China

Instead of traditionally using a 3D physical model with many control points on it, a calibration plate with printed chess grid and movable along its normal direction is implemented to provide large area 3D control points with variable Z values. Experiments show that the approach presented is effective for reconstructing 3D color objects in computer vision system.

关键词： computer vision 3D scan camera calibration calibration plate

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Modeling Rumor Unidirectional Spreading from Online Social Networks to Offline 23

Modeling Rumor Unidirectional Spreading from Online Social N...

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Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering

作者： Qiyi Han Yi Chen Key Laboratory of Pattern Recognition and Intelligent Information Processing School of Computer Science Chengdu University China College of Electronic Engineering Chengdu University of Information Technology China

ISBN: (纸本)9798400708305

Online social networks not only facilitate the dissemination of information, but also increase the risk of rumors. This paper focuses on studying the unidirectional spread of rumors from online social networks to offline environments. To describe the dynamic process of rumor spreading, we derive a unidirectional coupled network structure and mean-field equations. We illustrate the performance of rumor spreading under various scenarios using computer simulations. The simulations reveal that rumors in unidirectional coupled networks spread faster and wider than those in single layer networks. Furthermore, with the assistance of unidirectional links, rumors tend to persist for a longer duration and cause more severe damages.

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Scaling up Kernel Grower Clustering Method for Large Data Sets via Core-sets

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自动化学报 2008年第3期34卷 376-382页

作者： CHANG Liang DENG Xiao-Ming ZHENG Sui-Wu WANG Yong-Qing The Key Laboratory of Complex System and Intelligence Science Institute of AutomationChinese Academy of SciencesBeijing 100080P.R.China Virtual Reality Laboratory Institute of Computing TechnologyChinese Academy of SciencesBeijing 100080P.R.China National Laboratory of Pattern Recognition Institute of AutomationChinese Academy of SciencesBeijing 100080P.R.China

核栽培者是聚类最近 Camastra 和 Verri 建议的方法的一个新奇的核。它证明为各种各样的数据的好性能关于流行聚类的算法有利地设定并且比较。然而，方法的主要缺点是在处理大数据集合的弱可伸缩能力，它极大地限制它的应用程序。在这... 详细信息

核栽培者是聚类最近 Camastra 和 Verri 建议的方法的一个新奇的核。它证明为各种各样的数据的好性能关于流行聚类的算法有利地设定并且比较。然而，方法的主要缺点是在处理大数据集合的弱可伸缩能力，它极大地限制它的应用程序。在这份报纸，我们用核心集合建议一个可伸缩起来的核栽培者方法，它是比为聚类的大数据的原来的方法显著地快的。同时，它能处理很大的数据集合。象合成数据集合一样的基准数据集合的数字实验显示出建议方法的效率。方法也被用于真实图象分割说明它的性能。

关键词：大型数据集图象分割模式识别磁心配置核聚类

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High-Precision Discrete Convolution Algorithm Based on Moments

High-Precision Discrete Convolution Algorithm Based on Momen...

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WRI International Conference on Communications and Mobile Computing, CMC

作者： Jianguo Liu Zhenbing Liu Guoyou Wang Key Laboratory of Education Ministry for Image Processing and Intelligent Control State Key Laboratory of Multispectral Information Processing Technologies Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

Convolution is an important and useful operation in the fields of digital signal processing. In this paper, based on the previous work of performing discrete Fourier transform (DFT) via linear sums of discrete moments, we have made development to eliminate multiplications in discrete Fourier transforms by performing appropriate bit operations and shift operations in binary system, which can be implemented by integer additions of fixed points; then using the convolution theorem with the DFT, we compute the convolution with two DFTs, a point-by-point product, and an inverse DFT. Our algorithm involves fewer multiplications and can deal with arbitrary length signals.

关键词： Convolution Signal processing algorithms Discrete Fourier transforms Very large scale integration Algorithm design and analysis Laboratories Educational technology Digital signal processing Mobile communication Mobile computing

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Research on the Detection of Abnormal Cervical Cells Based on Improved YOLOv7

Research on the Detection of Abnormal Cervical Cells Based o...

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6th International Conference on intelligent Computing and Signal Processing (ICSP)

作者： Xuewei Wang Shuang Yuan Lidong Yang Dawei Niu Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing Inner Mongolia University of Science and Technology School of Digtial and Intelligence Industry Inner Mongolia China

ISBN: (数字)9798350376548

ISBN: (纸本)9798350376555

Cervical cytologic screening is clinically important for the prevention and diagnosis of cervical cancer. Aiming at the many challenges in the detection of abnormal cervical cells, including the difficult detection of small targets of abnormal cervical cells, complex backgrounds, and uneven cell morphology, a detection algorithm for abnormal cervical cells based on improved YOLOv7 was proposed. The algorithm utilizes Deformable Convolutional Networks v2 (DCNv2) that adaptively de-tunes the scale and receptive field size to more effectively cope with the complexity and diversity of cervical cell images. The experimental results show that the improved YOLOv7 algorithm mAP achieves 57.26%, up to 73.88% accuracy, and 46.90% recall on the cervical abnormal cell dataset. Compared with the benchmark model, they increased by 4.07%, 3.39%, and 5.69%, respectively.

关键词： Accuracy Sensitivity Shape Prevention and mitigation Signal processing algorithms Signal processing Feature extraction Convolutional neural networks Detection algorithms Cervical cancer

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Automatic Face Replacement in Video Based on 2D Morphable Model

Automatic Face Replacement in Video Based on 2D Morphable Mo...

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International Conference on pattern recognition

作者： Feng Min Nong Sang Zhefu Wang Hubei Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan China Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424475421

This paper presents an automatic face replacement approach in video based on 2D morphable model. Our approach includes three main modules: face alignment, face morph, and face fusion. Given a source image and target video, the Active Shape Models (ASM) is adopted to source image and target frames for face alignment. Then the source face shape is warped to match the target face shape by a 2D morphable model. The color and lighting of source face are adjusted to keep consistent with those of target face, and seamlessly blended in the target face. Our approach is fully automatic without user interference, and generates natural and realistic results.

关键词： Face Shape Lighting Image color analysis Three dimensional displays Facial features Solid modeling

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FASTC: A Fast Attentional Framework for Semantic Traversability Classification Using Point Cloud

arXiv

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arXiv 2024年

作者： Chen, Yirui Wei, Pengjin Liu, Zhenhuan Wang, Bingchao Yang, Jie Liu, Wei Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University China Key Laboratory of System Control and Information Processing Ministry of Education China

Producing traversability maps and understanding the surroundings are crucial prerequisites for autonomous navigation. In this paper, we address the problem of traversability assessment using point clouds. We propose a novel pillar feature extraction module that utilizes PointNet to capture features from point clouds organized in vertical volume and a 2D encoder-decoder structure to conduct traversability classification instead of the widely used 3D convolutions. This results in less computational cost while even better performance is achieved at the same time. We then propose a new spatio-temporal attention module to fuse multi-frame information, which can properly handle the varying density problem of LIDAR point clouds, and this makes our module able to assess distant areas more accurately. Comprehensive experimental results on augmented Semantic KITTI and RELLIS-3D datasets show that our method is able to achieve superior performance over existing approaches both quantitatively and quantitatively. Our code is publicly available at https://***/chenyirui/FASTC. © 2024, CC BY.

关键词： Semantics

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