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High-speed video transfer and real-time infrared spots detection based on FPGA

High-speed video transfer and real-time infrared spots detec...

引用

2nd International Workshop on Computer Science and Engineering, WCSE 2009

作者： Huang, Maoxiang Wang, Chenhao Liu, Yuncai Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9780769538815

This paper presents a high-speed video transfer scheme and a real-time infrared spots detection algorithm designed for Field Programmable Gate Array (FPGA) implementation. Rather than IEEE 1394a, two IEEE 1394b interfaces are alternatively used to ensure high-resolution image transfer in real time. In order to execute fast infrared spots detection, a parallel algorithm that processes four pixels per clock cycle is proposed. It detects infrared spots in a single pass over a frame and its implementation is only composed of combinatorial logic and registers. Furthermore, the execution time of the algorithm is independent of image content. A prototype system is implemented in an FPGA device. It is capable of transferring 1024 x 768 images smoothly at 60 fps and detecting infrared sports in a 1024 x 768 image within 1.966ms, demonstrating its superiority over the existing multi-pass algorithms and some other one-pass algorithms. Details of software and hardware architecture are discussed in this paper. © 2009 IEEE.

关键词： High speed cameras

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Saliency based image segmentation

Saliency based image segmentation

引用

2nd International Conference on Multimedia Technology, ICMT 2011

作者： Li, Qingshan Zhou, Yue Yang, Jie Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781612847740

This paper presents a novel method for image segmentation. We improved the effect of saliency detection for the purpose of image segmentation. Graph cuts are used to find global optimal segmentation of N-dimensional image. With the guidance of saliency, users do not have to select foreground object and background seeds. The main advantages of our method are that: Firstly we revised the existed sparse saliency model to better suit for image segmentation, Secondly we propose a new color modeling method during the process of GrabCut segmentation. Finally we combine these two processes together to segment images without interference. We demonstrate our proposed scheme for image segmentation on several databases and get satisfactory results. © 2011 IEEE.

关键词： image segmentation

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A curve-fitting method for correcting radial distortion

A curve-fitting method for correcting radial distortion

引用

2009 2nd International Congress on image and Signal processing, CISP'09

作者： Wenjuan, Ma Yuncai, Liu Image Processing and Pattern Recognition Institute Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781424441310

This paper presents a new method for correcting radial distortion. It makes use of a model plane including 3D lines and originally demonstrates that the distorted image of a 3D line is a circular arc. After obtained the circle equation, the distortion parameter and the supposed undistorted image are computed simultaneously. Then the camera model is equivalent to ideal pinhole camera and can be calibrated using conventional plane-based calibration algorithm. This paper successfully decouples the estimation of the radial distortion from the estimation of other camera intrinsic parameters. Experimental results verify the correctness and robustness of our method. ©2009 IEEE.

关键词： Pinhole cameras

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Variational bayesian method for temporally correlated source separation

引用

13th International Conference on Neural Information processing, ICONIP 2006

作者： Qinghua, Huang Jie, Yang Yue, Zhou Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China

ISBN: (纸本)3540464794

We propose to use a low order autoregressive (AR) model to describe the temporal structure of source. Then we adopt Variational Bayesian (VB) method for source separation which models additive noise into the mixing system. The approach integrates the source probabilistic model and noise probabilistic model. Its goal is to approximate the actual probability density function of hidden variables and parameters using its approximating posterior distribution by minimizing the misfit between them. The advantage of our VB-AR algorithm is that it can exploit the temporal nature of source signals and avoid over-fitting in the separating process. This algorithm can also identify the AR order. Experiments on artifact and real-world speech signals are used to verify our proposed algorithms. As a result, the lower AR source model improves the separation. The performance of the algorithm is compared with that of i.i.d. separation algorithm and the second-order separation algorithm. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Numerical methods

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A non-linear normalization model for iris recognition

A non-linear normalization model for iris recognition

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International Wokshop on Biometric recognition Systems, IWBRS 2005: Advances in Biometric Person Authentication

作者： Yuan, Xiaoyan Shi, Pengfei Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200030 China

ISBN: (纸本)3540294317

Iris-based biometric recognition outperforms other biometric methods in terms of accuracy. In this paper an iris normalization model for iris recognition is proposed, which combines linear and non-linear methods to unwrap the iris region. First, non-linearly transform all iris patterns to a reference annular zone with a predefined λ, which is the ratio of the radii of inner and outer boundaries of the iris. Then linearly unwrap this reference annular zone to a fix-sized rectangle block for subsequence processing. Our iris normalization model is illuminated by the 'minimum-wear-and-tear' meshwork of the iris and it is simplified for iris recognition. This model explicitly shows the non-linear property of iris deformation when pupil size changes. And experiments show that it does better than the over-simplified linear normalization model and will improve the iris recognition performance. © Springer-Verlag Berlin Heidelberg 2005.

关键词： pattern recognition

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Discriminant locality preserving projections: A new method to face representation and recognition

Discriminant locality preserving projections: A new method t...

引用

2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, VS-PETS

作者： Weiwei, Yu Xiaolong, Teng Chongqing, Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University ShangHai 200030 China

ISBN: (纸本)0780394240

Locality Preserving Projections (LPP) is a linear projective map that arises by solving a variational problem that optimally preserves the neighborhood structure of the data set. Though LPP has been applied in many domains, it has limits to solve recognition ***, Discriminant Locality Preserving Projections (DLPP) is presented in this paper. The improvement of DLPP algorithm over LPP method benefits mostly from two aspects. ne aspect is that DLPP tries to find the subspace that best discriminates different face classes by maximizing the between-class distance, while minimizing the within-class *** other aspect is that DLPP reduces the energy of noise and transformation difference as much as possible without sacrificing much of intrinsic difference. In the experiments, DLPP achieves the better face recognition performance than LPP. © 2005 IEEE.

关键词： Face recognition

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Deformable surface 3D tracking using linear programming

Deformable surface 3D tracking using linear programming

引用

2nd International Workshop on Computer Science and Engineering, WCSE 2009

作者： Wang, Chenhao Shen, Shuhan Liu, Yuncai Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9780769538815

A method for 3D shape reconstruction of deformable surfaces from consecutive frames was presented. In our method, the model of the surface is represented by a triangulated mesh. The constraints for the model, including keypoint correspondences and disallowing large changes of edge orientation between consecutive frames, are formulated as Linear Programming (LP) constraints. Therefore the deformable surface 3D tracking method turns into an LP problem that can be effectively solved. The robustness and efficiency of our approach are validated on synthetic and real data. © 2009 IEEE.

关键词： Linear programming

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Microarray camera image super-resolution with neural network and fusion of V-System 13

Microarray camera image super-resolution with neural network...

引用

13th International Conference on Computer Science and Education, ICCSE 2018

作者： Zou, Jiancheng Zhang, Honggen North China University of Technology Institute of Image Processing and Pattern Recognition Beijing China

ISBN: (纸本)9781538654958

With the rapid development of artificial intelligence technology, more and more intelligent devices are beginning to be manufactured. At the same time, the demand of the image resolution is getting higher. Super-resolution of the image has become a research hotspot in the field of artificial intelligence. The same time, convolution neural networks have been successful in many fields of computer vision, including image super-resolution. Single image super-resolution has received a lot of attention and made good progress recently. However, there are few neural network models for multi-image super-resolution. Array images are a completely new experience and application for super-resolution. In this paper, we use the microarray camera (3∗3) to get nine pictures in the same scene and use nine images to realize multiple images super-resolution. A super-resolution model combining software with hardware is proposed. The structure of image registration, V- system image fusion and convolution operation are constructed. The super-resolution model can extract the feature of the target image more efficiently, and the array camera has the characteristic of trading space for the time change. The model can be more accurate and efficient than single image super-resolution. In the PSNR and SSIM indexes, 1.01dB and 0.03 are increased respectively. We use ISO12233 camera resolution chart to detect the experimental pictures. In the experimental results, the resolution of the algorithm is the best. © 2018 IEEE.

关键词： Cameras

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A new speech denoising method based on WPD-ICA feature extraction

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作者： Huang, Qinghua Yang, Jie Zhou, Yue Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China

ISBN: (纸本)3540372555

Independent Component Analysis (ICA) feature extraction is an efficient sparse coding method for noise suppression. However, single channel signal can not be directly applied in ICA feature extraction. In this paper, we propose a new method using wavelet packet decomposition (WPD) as pre-processing for single channel data. Wavelet packet coefficients (WPCs) provide multi-channel data as input data to learn ICA basis vectors. Furthermore we project input data onto the basis vectors to get sparser and independent coefficients. Appropriate nonlinear shrinkage function is used onto the components of sparse coefficients so as to reduce noise. The proposed approach is very efficient with respect to signal recovery from noisy data because not only the projection coefficients are sparser based on WPCs but both the features and the shrinkage function are directly estimated from the observed data. The experimental results have shown that it has excellent performance on signal to noise ratio (SNR) enhancement compared with other filtering methods. © Springer-Verlag Berlin/Heidelberg 2006.

关键词： Independent component analysis

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A new image quality approach based on decision fusion

A new image quality approach based on decision fusion

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5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008

作者： Liu, Mingna Yang, Xin Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China

ISBN: (纸本)9780769533056

image quality evaluation is becoming essential in many image processing problems. This paper proposes a new image quality evaluation approach based on decision fusion method of canonical correlation analysis (CCA). By exploring several diverse visual models, we constructed a comprehensive quality metric which can deal with complicated image distortion problem with increasing accuracy and robustness. Validation by comparing the proposed metric against other image quality metrics (IQMs) demonstrates that its fidelity prediction performs better across wide distortion range and types. © 2008 IEEE.

关键词： image quality

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