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International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Ying Yang Xuanqin Mou Institute of Image Processing and Pattern Recognition Xi''an Jiaotong University Xi'an China

In this paper, we propose a scatter-glare correction method based on thickness estimation and digital filtration. The method is an improvement of the scatter-glare correction method proposed by Ersahin, et al The method estimates scatter glare fraction in two steps. The first step is to assign an equivalent Lucite thickness to every pixel in the image, and the second step is to estimate the scatter-glare fraction from the thickness information. Experiments show that this method can well estimate the scatter-glare fraction in a wide range of thicknesses, and a higher accuracy for scatter-glare estimation can be obtained by this method compared with Ersahin's method.

关键词： Estimation Phantoms Electron tubes Gray-scale Pixel Polynomials Fitting

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Probability Evolutionary Algorithm based human motion tracking using voxel data

Probability Evolutionary Algorithm based human motion tracki...

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Congress on Evolutionary Computation

作者： Shuhan Shen Haolong Deng Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

A novel evolutionary algorithm called probability evolutionary algorithm (PEA), and a method based on PEA for visual tracking of human body using voxel data are presented. PEA is inspired by the quantum computation and the quantum-inspired evolutionary algorithm, and it has a good balance between exploration and exploitation with very fast computation speed. The individual in PEA is encoded by the probabilistic compound bit, defined as the smallest unit of information, for the probabilistic representation. The observation step is used in PEA to obtain the observed states of the individual, and the update operator is used to evolve the individual. In the PEA based human tracking framework, tracking is considered to be a function optimization problem, so the aim is to optimize the matching function between the model and the image observation. Since the matching function is a very complex function in high-dimensional space, PEA is used to optimize it. Experiments on 3D human motion tracking using voxel data demonstrate the effectiveness, significance and computation efficiency of the proposed human tracking method.

关键词： Humans Tracking Probabilistic logic Three dimensional displays Evolutionary computation Solid modeling Computational modeling

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Head Pose Estimation from Low-Resolution image with Hough Forest

Head Pose Estimation from Low-Resolution Image with Hough Fo...

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Chinese Conference on pattern recognition (CCPR)

作者： Ming Zhang Ke Li Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

An approach for head pose estimation has been proposed in this paper using Hough forest. The estimation of pose are generated by voting from image patches as in a Hough transform. The basic idea is that image patches which contain eyes, hair or neck can give rich information about the head position and orientation. The voting process is implemented by randomized forest which is an efficient and robust tool for classification and regression. The method is quantitatively evaluated by comparing the estimated pose to the ground truth.

关键词： Head Estimation Training Uncertainty Humans Target tracking Computer vision

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3D space-time detection based control points selection of DSA

3D space-time detection based control points selection of DS...

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2010 2nd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2010

作者： Zhang, Fan Li, Bo Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475001 China

ISBN: (纸本)9781424479689

A 3D space-time motion detection based DSA control point selection algorithm is proposed. Main content is to detect the movement of image points based on the control selection and registration algorithm and using DSA image sequences to speed up the registration of control points. The image features, such as the edge, are used as the control points to register image effectively. According to the location of control points, 3D space-time characteristics are used to search control points, and it will further reduce the number of control points, and make the control point registration more accurate. © 2010 IEEE.

关键词： 3D space-time characteristics 3D space-time detection 3D space-time detection 3D space-time motion detection DSA control point selection algorithm DSA image sequences control point registration control points control points registration control points selection control selection diagnostic radiography digital subtraction angiography image features image points image registration image registration image sequences medical image processing motion compensation registration algorithm

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Mosaic and warping for forward moving images

Mosaic and warping for forward moving images

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Computer Graphics International

作者： Su Zhang Hanfeng Chen Pengfei Shi Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0769510078

Discusses mosaicking and warping for forward-motion (or forward-moving) images (FMI). In FMI, the field of view of one frame is wider than that of a later one; however, the resolution of the later frame is higher than that of previous one. Warp-function algorithms based respectively on a mesh warp and a triangle grid are presented, and a multi-resolution mosaic based on the wavelet transform is given. In-between images could be warped from the single mosaic image. An experiment with a real scene shows that the mesh warp algorithm is more time-consuming than that of triangle grid, but the image quality of the latter is better than that of the former. It also shows that the multi-resolution mosaic image is smooth and natural, eliminating the impact of the seams.

关键词： Video compression Cameras image resolution Signal resolution image processing pattern recognition Layout image quality Information resources Rendering (computer graphics)

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Yawning detection for determining driver drowsiness

Yawning detection for determining driver drowsiness

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IEEE International Workshop on VLSI Design and Video Technology, IWVDVT

作者： Tiesheng Wang Pengfei Shi Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0780390059

A system aiming at detecting driver drowsiness or fatigue on the basis of video analysis is presented. The focus of this paper is on how to extract driver yawning. A real time face detector is implemented to locate driver's face region. Subsequently, Kalman filter is adapted to track face region. Further, mouth window is localized within face region and degree of mouth openness is extracted based on mouth features to determine driver yawning in video. The system will reinitialize when occlusion or miss-detect on happen. Experiments are conducted to evaluate the validity of the described method.

关键词： Mouth Face detection Fatigue Lighting Infrared detectors Active shape model Deformable models image processing pattern recognition image analysis

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Identical matrix design of the optimal decoupling control system with kernel methods

Identical matrix design of the optimal decoupling control sy...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Yong Quan Jie Yang Institute of Image Processing & Pattern Recognition Shanghai JiaoTong University Shanghai China

Under the analysis of classical decoupling methods, a new kind of decoupling method is proposed based on kernel methods. We consider the application of support vector regression and kernel ridge regression in multivariable decoupling design. Simulation results are presented to show the multivariable control system adopting the kernel method compensator can decouple the coupling effects among those parameters. A comparison of support vector regression and kernel ridge regression in decoupling performance is also discussed. The method is relatively simple and is easy to implement All these characteristics make the decoupled control system easy to use in a practical environment.

关键词： Optimal control Control systems Kernel Neural networks Chemical processes Control design Machine learning Support vector machines Support vector machine classification image processing

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ATCA: AN ARC TRAJECTORY BASED MODEL WITH CURVATURE ATTENTION FOR VIDEO FRAME INTERPOLATION

arXiv

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arXiv 2022年

作者： Liu, Jinfeng Kong, Lingtong Yang, Jie Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China

Video frame interpolation is a classic and challenging low-level computer vision task. Recently, deep learning based methods have achieved impressive results, and it has been proven that optical flow based methods can synthesize frames with higher quality. However, most flow-based methods assume a line trajectory with a constant velocity between two input frames. Only a little work enforces predictions with curvilinear trajectory, but this requires more than two frames as input to estimate the acceleration, which takes more time and memory to execute. To address this problem, we propose an arc trajectory based model (ATCA), which learns motion prior from only two consecutive frames and also is lightweight. Experiments show that our approach performs better than many SOTA methods with fewer parameters and faster inference speed. Copyright © 2022, The Authors. All rights reserved.

关键词： Optical flows

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A hybrid image representation for indoor scene classification

A hybrid image representation for indoor scene classificatio...

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International Conference on image and Vision Computing New Zealand, IVCNZ

作者： Zhibin Niu Yue Zhou Kun Shi Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781424496297

Although scene classification has been studied for decades, indoor scene recognition remains challenging due to its large view point variance and massive irregular artefacts. In fact, most existing methods for outdoor scene classification perform poorly in the indoor situation. To address the problem, we propose a hybrid image representation by combining the global information with the local structure of the scene. First, the global discriminative information is captured by pyramid GIST feature. Second, the local structure is encoded by the bag of features method with Histogram Intersection Kernel (HIK). Finally, HIK based SVM is employed for learning and classification. Experiments on the MIT indoor scene database show that our approach could significantly improve the recognition accuracy of the state-of-art methods by about 14%.

关键词： Support vector machines

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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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