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检索条件"机构=Key Laboratory of Pattern Recognition and Intelligent Information Processing"

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Acquisition and tracking landmarks for navigation of aircraft

Acquisition and tracking landmarks for navigation of aircraf...

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MIPPR 2009 - Automatic Target recognition and Image Analysis: 6th International Symposium on Multispectral Image processing and pattern recognition

作者： Yang, Xiaoyu Zhang, Tianxu Yan, Luxin Wang, Dengwei Wang, Xiaoping State Key Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478061

In this paper, we proposed a method is used to estimate an aircraft's own position in flight depending on acquisition and tracking an enlarged landmark in an image sequence. Acquisition operation is based on matching 2D template with a 2D scene of the landmark area generated by the aircraft seeker. After the landmark location is acquired, tracking the center point of the landmark maintains the slant range estimate between the sensor and the landmark which is calculated depending on data of three successive positions from the measured IMU/ GPS information. Then, we obtain the absolute position of the aircraft in the world coordinate system (WCS) with the transformation from the landmark coordinate system (LCS) into the WCS. Finally, bias errors of the Inertial Navigation are corrected for navigation of the aircraft. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Aircraft

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A novel search coding method for generic object recognition based on shared features

A novel search coding method for generic object recognition ...

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MIPPR 2009 - pattern recognition and Computer Vision: 6th International Symposium on Multispectral Image processing and pattern recognition

作者： Zheng, Ping Sang, Nong State Key Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478078

In this paper, we consider the combined problem of distinguishing classes from the background and from each other, and propose an improved framework based on the previous state-of-the-art approaches. In the process of building ECOC (Error Correcting Output Coding) matrix (also called as sharing matrix), we adopt an encoding rule of one-versus-all, and maximize Hamming distance in categories as far as possible through heuristic search in sharing-code maps (i.e., layer joint boosting). Then the final classifier is responsible for detection, and ECOC matrix for recognition. In order to make full use of the output of the final classifier and its corresponding ECOC matrix, the following measures are worth considering: Firstly, a logistic function of the output mentioned above is used for a posterior probability of each codeword. Therefore the identified class label is the one corresponding to the codeword of Maximum a posteriori (MAP). Secondly, a similarity measurement utilizing the confusion matrix is advanced to focus on the similarities between classes. Thirdly, for the purpose of adaptive adjustment in Hamming distance, we change the subsequent search coding method according to the confusion matrix until the training errors are convergent. The experimental results illustrate the effectiveness of the proposed approach. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Hamming distance

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Image compression algorithm using image restoration based on wavelet analysis

Image compression algorithm using image restoration based on...

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MIPPR 2009 - Remote Sensing and GIS Data processing and Other Applications: 6th International Symposium on Multispectral Image processing and pattern recognition

作者： Cheng, Zhao Zhang, Tianxu Lu, Haifeng State Key Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478092

In this paper, we consider lossy image compression, which is based on wavelet theory. We introduce image restoration technology into the wavelet compression. By applying image restoration to the low-frequency component obtained by entropy decoding in decompression process, we retrieve a gained high-frequency component, which is the expression of reconstructed image texture in frequency domain. As a benchmark, the algorithm we present is compared to the traditional wavelet compression. The results of comparative experiments show that our method performs better than traditional algorithms. The PSNR in our method is elevated generally, and the reconstructed image is more texture-richer than the traditional approach without restoration. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Image reconstruction

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A method for dynamic infrared image simulation under various natural conditions

A method for dynamic infrared image simulation under various...

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MIPPR 2009 - Multispectral Image Acquisition and processing: 6th International Symposium on Multispectral Image processing and pattern recognition

作者： Zheng, Lulu Sun, Siyuan Zhang, Tianxu Li, Ziliang Wan, Meijun State Key Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478054

Infrared image simulation plays an important role in many fields. This paper presents a method for dynamic infrared image simulation under various natural conditions. Firstly, we analyze the infrared imaging rationale, considering various affected factors of temperature, radiance filed and atmospheric attenuation based on the heat transfer equation. Secondly, we present a reasonable simulation procedure based on the Vega Application Interface (API). Especially, a hybrid simulation idea is put forward and an improved strategy for different objects is carried out. The performance of this approach is evaluated by simulating two kinds of targets. Results show that the method proposed is valid compared with the real images under the same condition. In addition, this approach has relatively low calculation complexity but high fidelity, and satisfies the requirement of real time. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Thermography (imaging)

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High precision discrete wavelet transform based on moment and systolic implementation

High precision discrete wavelet transform based on moment an...

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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： Liu, Zhenbing Liu, Jianguo Wang, Guoyou State Key Laboratory for Multispectral Information Processing Technologies Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan HB 430074 China

ISBN: (纸本)9780819478085

Discrete wavelet transform (DWT) is an important tool in digital signal processing. In this paper, a new algorithm to compute DWT is proposed: first, based on the previous work of performing discrete Fourier transform (DFT) via linear sums of discrete moments, we introduce a multiplierless DFT by performing appropriate bit operations and shift operations in binary system;then by convolution theorem, the computation is transformed to the computation of DFT. In addition, a efficient systolic array is designed to implement the DWT which is a demonstration of the locality of dataflow in the algorithms. The approach is also applicable to multi-dimensional DWT. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Discrete Fourier transforms

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Recoverable image watermarking based on halftoning for content authentication

Recoverable image watermarking based on halftoning for conte...

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MIPPR 2009 - Remote Sensing and GIS Data processing and Other Applications: 6th International Symposium on Multispectral Image processing and pattern recognition

作者： Wang, Zuxi Zhao, Xiangyuan Wang, Wenzong Hu, Hanping Li, Li Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology China Key Laboratory of Image Processing and Intelligent Control Ministry of Education Wuhan 430074 China

ISBN: (纸本)9780819478092

In this paper, a semi-fragile watermark solution based on quantization index modulation in the wavelet region was proposed. The algorithm employs a compressed halftoned binary image as watermark and embeds it in the wavelet domain through quantization index modulation, which can not only identify the authenticity of the content of digital image, but also recover the tampered image approximately. Because the watermark is a low-resolution original image, which carries the original image information, so the original image is not required when authenticating, and the tampered region can be recovered according to the watermark. The method can tolerate a certain degree of compression distortion or noise. Beside, a secret key is used to select the embedded watermark bits and their embedded positions to increase the security of watermarking. Experimental results show this semi-fragile watermarking algorithm is effective and practical for content authentication. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Binary images

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Locating sea-sky line in infrared image based on complex degree calculation

Locating sea-sky line in infrared image based on complex deg...

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MIPPR 2009 - Multispectral Image Acquisition and processing: 6th International Symposium on Multispectral Image processing and pattern recognition

作者： Wang, Peng Tian, Jinwen Gao, Chenqiang State Key Laboratory 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)9780819478054

Research on the location of sea-sky line under infrared complicated sea-sky background has the important value to improve the capability of far target recognition. In a real sea-sky background infrared image, the sky and the sea normally appear in the form of different changes of grey-level on account of their different infrared radiation and reflection characteristics. So we can use the background complex degree to differentiate between the sky region and the sea region. In our method, an operator is employed to calculate the background complex degree of image. By filtering original infrared image with the operator, the grey-level contrast between the sky region and the sea region can be stronger than original image. After the complex degree calculation, the edge detection with only row directional gradient and Hough transform are utilized in succession, the sea-sky line can be located. Some typical sea-sky background infrared images are selected to validate our proposed method. The experimental results indicate that our sea-sky line location method is robust. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Hough transforms

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RETRACTED ARTICLE: Digital fingerprinting based on synergetic

RETRACTED ARTICLE: Digital fingerprinting based on synergeti...

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2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009

作者： Wang, Zuxi Ge, Qiang Wang, Wenzong Hu, Hanping Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China Key Laboratory of Image Processing and Intelligent Control Ministry of Education Wuhan China

ISBN: (纸本)9781424445073

Owing to the weaknesses of existing correlation detection methods in digital fingerprint matching, such as difficult to determine the threshold and low matching accuracy rate, a method proposed in digital fingerprint matching based on synergetic, which was applied in pattern recognition. Then, the experimental result indicated that the method proposed in the paper has a high matching rate. ©2009 IEEE.

关键词： Copyrights

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A flower algorithm for autonomous star identification in space surveillance

A flower algorithm for autonomous star identification in spa...

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MIPPR 2009 - pattern recognition and Computer Vision: 6th International Symposium on Multispectral Image processing and pattern recognition

作者： Gong, Jiaqi Wu, Lin Gong, Junbin Ma, Jie Tian, Jinwen State Key Laboratory 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)9780819478078

The recent increase of space threats yields the idea of using the existing star trackers to perform surveillance of space objects from space. In the missions, due to the observer attitude dynamics, smearing affects the observed stars on the image in space surveillance. Besides, the reflecting flying space objects or debris as spurious stars affects the attitude determination. These are devastating for most star identification algorithms in star trackers. To resolve the problems, this paper defines a star pattern, called Flower code, which is composed of angular distances and circular angles as the characteristics of the pivot star. The angular distances are used for initial lookup table match. Moreover, the circular angles are used for the cyclic dynamic match between the sensor pattern and the pattern candidates from the initial match. The focus of the results is the evaluation of the influence of the reflecting flying spacecraft or debris as spurious stars and the attitude dynamics of the observer spacecraft, on the performance of the algorithms. A number of experiments are carried out on simulated images. The results demonstrated that the proposed method is efficient and robust. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Stars

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The optical-flow aided navigation for the INS

The optical-flow aided navigation for the INS

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MIPPR 2009 - Automatic Target recognition and Image Analysis: 6th International Symposium on Multispectral Image processing and pattern recognition

作者： Pan, Chao Liu, Jianguo Xiao, Wei State Key Laboratory for Multispectral Information Processing Technologies Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei 430074 China

ISBN: (纸本)9780819478061

The inertial navigation system (INS) is an efficient navigation method but it can occur accumulative errors. To correct this error in the INS, this paper presents a novel optical-flow aided navigation method by studying the terrain aided navigation, which can implement the continuous error estimation of the INS by employing the extended kalman filter that regards optical-flow as its measurement parameter. Therefore, this aided method is similar to the terrain aided navigation except that the measurement parameter and equation are both derived from optical-flow instead of terrain height. Experiments with some actual aerial image sequences have proven the efficiency of this aided navigation method. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Kalman filters

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