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MIPPR 2007: Medical Imaging, Parallel processing of images, and Optimization Techniques

作者： Liu, Zhenbing Wang, Guoyou Liu, Jianguo State Key Lab. for Multi-spectral Information Processing Technologies Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819469533

Discrete Fourier transform (DFT) is an important tool in digital signal processing. We have proposed an approach to performing DFT via linear sums of discrete moments. In this paper, based on the previous work, we present a new method of performing fast Fourier transform without multiplications by performing appropriate bit operations and shift operations in binary system, which can be implemented by integer additions of fixed points. The systolic implementation is a demonstration of the locality of dataflow in the algorithms and hence it implies an easy and potential hardware/VLSI realization. The approach is also applicable to DFT inverses.

关键词： Discrete Fourier transforms

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Design and implementation of a scalab.e enhanced high-performance DMA architecture for complex SoC

Design and implementation of a scalable enhanced high-perfor...

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MIPPR 2009 - Medical Imaging, Parallel processing of images, and Optimization Techniques: 6th International Symposium on Multispectral image processing and pattern recognition

作者： Zhao, Hualong Sang, Hongshi Zhang, Tianxu Shen, Xubang State Key Lab. for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478085

As the demand of higher image quality and greater processing capabilities are growing, obtaining higher data bandwidth for on-chip processing is becoming a more and more important issue. DMA (Direct Memory Access) component, as the key element in stream processing SoC (System on Chip) [1], should be deeply researched and designed to satisfy the high data bandwidth requirement of processing units. In this paper, we introduce a scalab.e high-performance DMA architecture for complex SoC to satisfy rigorous high sustained bandwidth and versatile functionality requirements. Several techniques and structures are proposed in this paper. An integrated verification environment is also built for our design to fully verify its functionality. And the performance improvement by using our architecture is analyzed. At the end of the paper, the post-simulation and tape-out results are provided. The whole implementation has been silicon proven to be functional and efficient. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： System-on-chip

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Incremental non-negative matrix factorization for dynamic background modelling

Incremental non-negative matrix factorization for dynamic ba...

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7th International Workshop on pattern recognition in Information Systems PRIS 2007;In Conjunction with ICEIS 2007

作者： Bucak, Serhat S. Gunsel, Bilge Gursoy, Ozan Multimedia Signal Processing and Pattern Recognition Lab. Dept. of Electronics and Comm. Eng. Istanbul Technical University 34469 Maslak Istanbul Turkey

ISBN: (纸本)9789728865931

In this paper, an incremental algorithm which is derived from Non-negative Matrix Factorization (NMF) is proposed for background modeling in surveillance type of video sequences. The adopted algorithm, which is called as Incremental NMF (INMF), is capable of modeling dynamic content of the surveillance video and controlling contribution of the subsequent observations to the existing representation properly. INMF preserves additive, parts-based representation, and dimension reduction capability of NMF without increasing the computational load. Test results are reported to compare background modeling performances of batch-mode and incremental NMF in surveillance type of video. Moreover, test results obtained by the incremental PCA are also given for comparison purposes. It is shown that INMF outperforms the conventional batch-mode NMF in all aspects of dynamic background modeling. Although object tracking performance of INMF and the incremental PCA are comparable, INMF is much more robust to illumination changes.

关键词： Non-negative matrix factorization

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Human activity recognition in images using SVMs and geodesics on smooth manifolds 14

Human activity recognition in images using SVMs and geodesic...

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8th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2014

作者： Yun, Yixiao Fu, Keren Gu, Irene Yu-Hua Aghajan, Hamid Yang, Jie Dept. of Signals and Systems Chalmers University of Technology Sweden Inst. of Image Processing and Pattern Recognition Shanghai Jiao Tong University China IMinds Ghent University Belgium AIR Lab. Stanford University United States

ISBN: (纸本)9781450329255

This paper addresses the problem of human activity recognition in still images. We propose a novel method that focuses on human-object interaction for feature representation of activities on Riemannian manifolds, and exploits underlying Riemannian geometry for classification. The main contributions of the paper include: (a) represent human activity by appearance features from local patches centered at hands containing interacting objects, and by structural features formed from the detected human skeleton containing the head, torso axis and hands;(b) formulate SVM kernel function based on geodesics on Riemannian manifolds under the log-Euclidean metric;(c) apply multi-class SVM classifier on the manifold under the one-against-all strategy. Experiments were conducted on a dataset containing 17196 images in 12 classes of activities from 4 subjects. Test results, evaluations, and comparisons with state-of-the-art methods provide support to the effectiveness of the proposed scheme. Copyright 2014 ACM.

关键词： Support vector machines

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Intensity-based correlation for heterogeneous images scene matching

Intensity-based correlation for heterogeneous images scene m...

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MIPPR 2007: Automatic Target recognition and image Analysis;and Multispectral image Acquisition

作者： Sheng, Zhong Huimin, Cao Tianxu, Zhang State Key Lab. for Multi-spectral Information Processing Technology Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819469502

Downward looking scene matching is an important technique of the aircraft automation guidance. To solve the heterogeneous images scene matching problem, we present two effective methods based on intensity-based correlation in this paper. One is to search the real match position based on the feature of the peak on the correlation surface. We propose a criterion to search the proper matching. The other is to use a non-linear filter to pre-process the images, which reduces the influence of ambient lighting while keeping the necessary image details since the contour of the scene is the stable and unchanged feature. Also, we use a Fourier analysis to explain the contribution of different frequency spectrum in the correlation. By using this frequency information, we propose a simpler kernel filter method based on pre-process, which has the similar performance with non-linear filter pre-process but has less computation complexity. This simple kernel is more suitable for the embedded DSP real-time application.

关键词： pattern matching

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Efficient systolic implementation of DFT using only the first-order moments

Efficient systolic implementation of DFT using only the firs...

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2010 International Conference on Intelligent Control and Information processing, ICICIP 2010

作者： Liu, Jianguo Liu, Zhenbing Pan, Chao State Key Lab. for Multi-Spectral Information Processing Technology Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424470488

The Discrete Fourier transform (DFT) is an important tool in digital signal processing. In this paper, a novel approach to DFT is proposed. The computation of DFT is transformed to the computation of the first-order moments by the simple mathematical deductions. It is well known that the first-order moments can be computed efficiently using only additions. An efficient systolic array is designed to implement DFT. The comparison with the existing methods shows the advantages of our method. The approach is also applicable to DFT inverses. © 2010 IEEE.

关键词： Discrete Fourier transforms

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Two-dimensional multi-fiber spectrum image correction based on machine learning techniques

arXiv

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arXiv 2020年

作者： Xu, Jiali Yin, Qian Guo, Ping Zheng, Xin Image Processing and Pattern Recognition Lab. School of Artificial Intelligence Beijing Normal University Beijing100875 China Image Processing and Pattern Recognition Lab School of Systems Science Beijing Normal University Beijing100875 China

Due to limited size and imperfect of the optical components in a spectrometer, aberration has inevitably been brought into two-dimensional multi-fiber spectrum image in LAMOST, which leads to obvious spacial variation of the point spread functions (PSFs). Consequently, if spatial variant PSFs are estimated directly, the huge storage and intensive computation requirements result in deconvolutional spectral extraction method become intractable. In this paper, we proposed a novel method to solve the problem of spatial variation PSF through image aberration correction. When CCD image aberration is corrected, PSF, the convolution kernel, can be approximated by one spatial invariant PSF only. Specifically, machine learning techniques are adopted to calibrate distorted spectral image, including Total Least Squares (TLS) algorithm, intelligent sampling method, multi-layer feed-forward neural networks. The calibration experiments on the LAMOST CCD images show that the calibration effect of proposed method is effectible. At the same time, the spectrum extraction results before and after calibration are compared, results show the characteristics of the extracted one-dimensional waveform are more close to an ideal optics system, and the PSF of the corrected object spectrum image estimated by the blind deconvolution method is nearly central symmetry, which indicates that our proposed method can significantly reduce the complexity of spectrum extraction and improve extraction accuracy. Copyright © 2020, The Authors. All rights reserved.

关键词： Optical transfer function

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Architectural style classification of building facade windows

Architectural style classification of building facade window...

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7th International Symposium on Visual Computing, ISVC 2011

作者： Shalunts, Gayane Haxhimusa, Yll Sablatnig, Robert Institute of Computer Aided Automation Computer Vision Lab. Vienna University of Technology Austria Institute of Computer Graphics and Algorithms Pattern Recongition and Image Processing Lab. Vienna University of Technology Austria

Building facade classification by architectural styles allows categorization of large databases of building images into semantic categories belonging to certain historic periods, regions and cultural influences. image databases sorted by architectural styles permit effective and fast image search for the purposes of content-based image retrieval, 3D reconstruction, 3D city-modeling, virtual tourism and indexing of cultural heritage buildings. Building facade classification is viewed as a task of classifying separate architectural structural elements, like windows, domes, towers, columns, etc, as every architectural style applies certain rules and characteristic forms for the design and construction of the structural parts mentioned. In the context of building facade architectural style classification the current paper objective is to classify the architectural style of facade windows. Typical windows belonging to Romanesque, Gothic and Renaissance/Baroque European main architectural periods are classified. The approach is based on clustering and learning of local features, applying intelligence that architects use to classify windows of the mentioned architectural styles in the training stage. © 2011 Springer-Verlag.

关键词： Semantics

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Text scanner with text detection technology on image sequences

Text scanner with text detection technology on image sequenc...

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16th International Conference on pattern recognition, ICPR 2002

作者： Jung, Keechul Kim, Kwang In Kurata, Takeshi Kourogi, Masakastu Han, Junghyun Pattern Recognition and Image Processing Lab. Michigan State Univerisity United States Artificial Intelligence Lab. KAIST Korea Republic of National Institute of Advanced Industrial Science and Technology Japan School of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of

ISBN: (纸本)0769516963

We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron. To provide enhanced resolution of the extracted text images, we perform the text detection process after generating a mosaic image in a fast and robust image registration method. © 2002 IEEE.

关键词： image enhancement

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Text Scanner with text detection technology on image sequences

Text Scanner with text detection technology on image sequenc...

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作者： Jung, Keechul Kim, Kwang In Kurata, Takeshi Kourogi, Masakastu Han, JungHyun Pattern Recognition and Image Processing Lab. Michigan State Univerisity United States Artificial Intelligence Lab. KAIST Korea Republic of National Institute of Advanced Industrial Science and Technology Japan School of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of

关键词： Text processing

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