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Practical multi-camera calibration algorithm with 1D objects for virtual environments

Practical multi-camera calibration algorithm with 1D objects...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Zijian Zhao Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

A new calibration algorithm for multi-camera systems using the 1D calibration objects is proposed. The algorithm integrates the rank-4 factorization with Zhangpsilas method. The intrinsic parameters as well as the extrinsic parameters are recovered only by capturing with cameras the 1D objectpsilas rotations around a fixed point. The algorithm is based on factorization of the scaled measurement matrix, the projective depths of which is estimated in an analytic equation instead of a recursive form. For the conditions that there are more than 3 points on the 1D object, our algorithm may solve them by extending the scaled measurement matrix. The obtained parameters are finally refined through the maximum likelihood inference. The validity of the proposed technique was verified through simulation and experiments with real images.

关键词： Cameras Calibration Transmission line matrix methods Equations Matrix decomposition Mathematical model Shape

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Fast sar image matching algorithm in naviglation system

Fast sar image matching algorithm in naviglation system

引用

2003 IEEE Aerospace Conference

作者： Li, Yang Xin, Yuan Shuhua, Wang Institute of Image Processing and Pattern Recognition Shanghai JiaoTong University 1954 HuaShan Road 200030 Shanghai China Nanjing University of Aeronautics and Astronautics 29 YuDao Road 210016 Nanjing China

ISBN: (纸本)078037651X

The paper presents a novel fast matching algorithm between airborne and satellite-borne SAR images so as to efficiently integrate SAR images into GPSISINS navigation system. Because the character such as gray level and resolution of an airborne image is different from that of a satellite-home SAR image, the matching algorithm in this paper is in principle based on edge extracting method on consideration of the real-time calculation ability. Wavelet decomposition is carried out on the input images and the edges are extracted from fine to coarse, where certain solutions are adopted against the inherent speckle noise in SAR image. On the other hand, the matching process between reference image and sensed image from coarse to fine is based on Hausdorff similarity. Furthermore, Kalman filter contributes to estimation and compensation of matching error so that matchng precision can be obviously improved. Theoretic analysis and simulation results not only illustrate the feasibility and reliability of the presented algorithm in this paper, but also manifest its fast matching process. © 2003 IEEE.

关键词： Synthetic aperture radar

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Off-line Chinese signature verification

Off-line Chinese signature verification

引用

IEEE International Conference on image processing

作者： Jun Lin Jie-Gu Li Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0780332598

In this paper, a set of shape features which was based on the special characteristics of Chinese signatures was proposed for off-line Chinese signature verification. Another set of high-pressure features was also developed to extract timing and dynamic information indirectly from the signature image. A database of 100 genuine signatures and 50 simple forgeries was used to investigate the effectiveness of these two sets. Though shape features and high-pressure features had an error rate of 6.5% and 20.0% respectively, the collective use of these two sets reduced the error rate of simple forgery verification to 2.5%. It was concluded that combined use of static and dynamic information is an effective way for off-line Chinese signature verification.

关键词： Handwriting recognition Shape Spatial databases Forgery Timing image databases Error analysis Gravity image processing pattern recognition

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Estimation of camera pose using 2D-3D occluded corner correspondence

Estimation of camera pose using 2D-3D occluded corner corres...

引用

International Conference on Signal processing Proceedings (ICSP)

作者： Shi Fanhuai Zhang Xiaoyun Liu Hongjian Liu Yuncai Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

In this paper, we investigate how camera pose can be estimated from 2D to 3D corner correspondence when vertex of the corner is occluded. We show that the image coordinate of the occluded vertex can be easily estimated from the image edge lines by an analytical method. Then the camera pose parameters can be recovered from 2D to 3D correspondences of the corner and a nonsingular point on it over a single view. A ground truth comparison is made by experiments using controlled scenes, which shows that the method is promising.

关键词： Cameras Robot vision systems Computer vision Aircraft navigation Motion estimation image analysis Layout Robot kinematics Orbital robotics Calibration

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A new printing measurement method and structure feature extraction of microscopic dot

A new printing measurement method and structure feature extr...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Yonggang Wang Jie Yang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0780382730

To overcome the drawbacks of print measurements, a novel measurement approach, namely dot structure based measurement, is proposed. In addition, the structure feature extraction of microscopic dot is discussed. The proposed scheme provides a precondition for such further research as print quality surveillance, fault diagnosis, color design and printing theories as well.

关键词： Printing Feature extraction Microscopy US Department of Transportation image processing pattern recognition Surveillance Fault diagnosis Quality control image color analysis

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Human Gait recognition by Integrating Motion Feature and Shape Feature

Human Gait Recognition by Integrating Motion Feature and Sha...

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International Conference on Multimedia Technology

作者： Bing Sun Junchi Yan Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781424478712

Gait is thought to be the most effective feature for human recognition in the distance. For optimal performance, the feature should include as many different types of information as possible, so in this paper, we present an integrated feature, which integrates motion feature and shape feature based on the Bayesian theory. For motion feature, we use shape variation-based frieze pattern (SVB frieze pattern) as the basis, since it can solve the ball or backpack problems very well, then we match the SVB frieze pattern feature by dynamic time warping (DTW). For shape feature, we use gait energy image (GEI) as the basis, since it is less sensitive to the silhouette noise, then we extract further information by histograms of oriented gradients (HOG) and do the dimensionality reduction by coupled subspaces analysis (CSA) and discriminant analysis with tensor representation (DATER). The proposed approach is tested on the CMU MoBo gait database. The result shows that the proposed approach is an efficient way in increasing the accuracy.

关键词： Feature extraction Humans Shape Legged locomotion Data mining Histograms

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Multi-view Ear Shape Feature Extraction and Reconstruction

Multi-view Ear Shape Feature Extraction and Reconstruction

引用

International IEEE Conference on Signal-image Technologies and Internet-Based System

作者： Heng Liu Jingqi Yan Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

Due to ear's complex structure, particular position, and preferable stability, ear biometrics has attracted increasingly attention recently. In this paper, we present a new multi-view based ear feature extraction strategy. We utilize not only front view ear image but backside view ear image to extract 2D ear shape four kinds of rich features for ear recognition. In addition, we utilize multi-view ear images to reconstruct 3D ear shape, and a neural network 3D ear registration method is introduced also. Experimental results and comparison analysis show our multi-view based strategy will be a promising approach for ear biometrics.

关键词： Ear Feature extraction Shape Three dimensional displays image reconstruction image segmentation Geometry

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A New image Quality Approach Based on Decision Fusion

A New Image Quality Approach Based on Decision Fusion

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

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

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.

关键词： image quality image processing Robustness image databases image analysis Testing Spatial databases Visual databases Accuracy Fuzzy systems

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A Linear Approach to Camera Calibration Using Concentric Circles

A Linear Approach to Camera Calibration Using Concentric Cir...

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International Conference on Information Technology and Computer Science, ITCS

作者： Wenjuan Ma Yinqiang Zheng Yuncai Liu Image Processing and Pattern Recognition Institute Shanghai Jiaotong University Shanghai China

In this paper, we present a new algorithm for camera calibration using concentric circles, which is a linear approach. Different from previous methods, we take the projective equations of three-dimensional circles, which include the intrinsic parameter matrix of the camera, as the basis of our calibration approach. According to the special structure of the projective equations in algebra, we can get a linear equation system about the intrinsic parameters. After enough equations constructed, the calibration can be easily finished. Our method needs three images of the two concentric circles at least, and all the five intrinsic parameters can be recovered. Experiments using computer simulated data demonstrate the robustness and accuracy of our method.

关键词： Cameras Calibration Equations Transmission line matrix methods Matrix decomposition Algebra Robustness Information technology Computer science image processing

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image fusion algorithm using nonsubsampled contourlet transform

Image fusion algorithm using nonsubsampled contourlet transf...

引用

MIPPR 2007: Multispectral image processing

作者： Yang, Xiao Zhiguo, Cao Kai, Wang Zhengxiang, Xu Institute of Pattern Recognition and Artificial Intelligence State Education Commission Key Laboratory for Image Processing and Intelligent Control Huazhong Uni. of Sci. and Tech. Wuhan 430074 China

ISBN: (纸本)9780819469519

In this paper, a pixel-level image fusion algorithm based on Nonsubsampled Contourlet Transform (NSCT) has been proposed. Compared with Contourlet Transform, NSCT is redundant, shift-invariant and more suitable for image fusion. Each image from different sensors could be decomposed into a low frequency image and a series of high frequency images of different directions by multi-sacle NSCT. For low and high frequency images, they are fused based on local-contrast enhancement and definition respectively. Finally, fused image is reconstructed from low and high frequency fused images. Experiment demonstrates that NSCT could preserve edge significantly and the fusion rule based on region segmentation performances well in local-contrast enhancement.

关键词： image fusion

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