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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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Efficient technique for ellipse detection using restricted randomized Hough transform

Efficient technique for ellipse detection using restricted r...

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International Conference on Information Technology: Coding and Computing (ITCC)

作者： Z. Cheng Y. Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

We propose a new efficient method to detect ellipses in binary or gray-scale images, called restricted randomized Hough transform (RRHT). The key of RRHT is to restrict the scope of selected points when detecting ellipses by prior image processing, from which the information of curves can be obtained and further work focuses on detection and validation of each curve orderly. Artificial images and natural gray images are employed to test this method and the results show that RRHT spends less time to detect ellipses more successfully compared with that of conventional randomized Hough transform (RHT).

关键词： Testing image processing Object detection pattern recognition Gray-scale Shape Standards development Voting Digital images Prototypes

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A robust algorithm of principal curve detection

A robust algorithm of principal curve detection

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International Conference on pattern recognition

作者： Mang Chen Zhiguo Cheng Yuncai Liu Institute of Image Processing and Pattern Recognition ShangHai JiaoTong University Shanghai China

ISBN: (纸本)0769521282

In this paper, we present a new method for the detection of principal curves in complicated feature images. Based on the criteria of the shortest path of curves and directional deviation of paths, principal curve detection is carried out in graph domain. DFS searching scheme is adopted in exploration of a graph network. The motivation of this research is to find road boundaries and house contours from printed map images. By extensive experiments, the algorithm has shown good efficiency and robustness with real map images. The technique described in this paper can also be used in other applications, such as in character recognition, to separate characters from other unwanted document components that overlap with the characters.

关键词： Robustness Pixel Skeleton image edge detection image processing pattern recognition Roads Character recognition Turning image segmentation

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An Authentication Technique Based on Classification

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Journal of Donghua University(English Edition) 2004年第3期21卷 103-106页

作者：李钢杨杰 Inst. Of Image Processing & Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200030 China

We present a novel watermarking approach based on classification for authentication, in which a watermark is embedded into the host image. When the marked image is modified, the extracted watermark is also different to the original watermark, and different kinds of modification lead to different extracted watermarks. In this paper, different kinds of modification are considered as classes, and we used classification algorithm to recognize the modifications with high probability. Simulation results show that the proposed method is potential and effective.

关键词： Authentication data hiding fragile watermark Classification

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Estimation of camera pose using 2D to 3D corner correspondence

Estimation of camera pose using 2D to 3D corner corresponden...

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International Conference on Information Technology: Coding and Computing (ITCC)

作者： Fanhuai Shi Yuncai Liu Inst. of Image Processing & Pattern Recognition Shanghai Jiaotong University China

ISBN: (纸本)0769521088

We present a new method for the determination of camera pose from 2D to 3D corner correspondence. Two cases are considered: the orthogonal corner and the general corner with known space angles. The contribution of the paper is in two folds: one is that the camera pose parameters, i.e., the rotation and translation, are easily recovered from a 2D to 3D corner correspondence; the other is that experiments using both simulated data and real images are conducted, which present good results.

关键词： Cameras Robot vision systems Aircraft navigation image processing pattern recognition image edge detection image motion analysis Robot kinematics Orbital robotics Calibration

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An automatic system for text location and extraction in digital video based using SVM

An automatic system for text location and extraction in digi...

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International Conference on Signal processing Proceedings (ICSP)

作者： Cheng Zhiguo Liu Yuncai Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

Text that appears in a scene or is graphically added to video can provide an important supplemental source of index information as well as clues for decoding the video's structure and for classification. In this work, a novel algorithm is present for detecting and locating text in digital video. The first module of the system divides an image into small blocks which are featured by pixel value and are fed to SVM (support vector machine) to classify' text blocks or not. The other module is to do post-processing on the classified text blocks to identify the rectangle region of them and OCR can be used further easily. Experiments conducted with a variety of video sources showed that our method could detect and locate text region successfully by SVM with comparatively less samples.

关键词： Support vector machines Layout Support vector machine classification Optical character recognition software System testing Graphics Pixel Information retrieval image processing pattern recognition

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Video object plane extraction for surveillance applications

Video object plane extraction for surveillance applications

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Juan Li Xian-Min Zhang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0780384032

Extraction of video object plane (VOP) is the central challenge for content-based video processing. It enables separate and flexible manipulation, blending and arrangement of content at MPEG-4 based decoder. We present a fast and efficient extraction algorithm depending on edge detection. Our algorithm begins with finding edge candidates detected by Canny edge detector. After selecting edge pixels which belong to the moving object in current frame, the VOP is extracted by using morphological operations. The proposed algorithm is evaluated on MPEG-4 test sequence and generates desirable VOPs at a lower computation cost.

关键词： image edge detection Data mining Noise generators MPEG 4 Standard Morphological operations Video surveillance Intelligent systems Background noise image processing pattern recognition

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Point pattern matching for articulated or multiple objects

Point pattern matching for articulated or multiple objects

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International Conference on pattern recognition

作者： Xiaoyun Zhang Yuncai Liu Institute of Image Processing and Pattern Recognition ShangHai JiaoTong University Shanghai China

ISBN: (纸本)0769521282

An efficient point pattern matching algorithm for articulated and multiple objects is presented in this paper. A local to global strategy is adopted to get three layered matches starting from an initial partition of the point set using clustering method. Firstly, initial match with three point correspondences is obtained through local neighborhood and exhaustive search. Then, central match is expanded from initial match by alternating between next point matching and transformation update. Finally, ambiguous boundary points are matched and classified into their correspondent parts using the estimated alignment transformations, and missing or extra points are detected and rejected as outliers. Experiments on real images present satisfying results.

关键词： pattern matching pattern recognition Computer vision Layout Humans Tracking Joints image processing Clustering algorithms Partitioning algorithms

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Multisensor aerial image registration using direct histogram specification

Multisensor aerial image registration using direct histogram...

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IEEE International Conference on Networking, Sensing and Control

作者： Hongya Tuo Lin Zhang Yuncai Liu Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China

Multisensor image registration is a difficult problem. In this paper, we give a new registration method using direct histogram specification technique. We find that after using histogram specification, the resulting images with the same view look more similar, though the original images gained by different sensors differ much in intensity. Based on this property, a novel approach to find matching block pairs is proposed. The centers of the block pairs are used as control points (cps). We also use the cluster method of the nearest function criterion to test the correctness of the cps and discard wrong ones. The algorithm has been tested by many aerial images of different sensors. The effectiveness is illustrated by the experimental results.

关键词： image registration Histograms image sensors pattern recognition Remote sensing image processing Satellites Testing Feature extraction Sensor phenomena and characterization

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