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ACO contour matching: a dominant point approach.

ACO contour matching: a dominant point approach.

2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

作者： Cecilia Di Ruberto Andrea Morgera Department of Mathematics and Computer Science University of Cagliari Cagliari Italy

In computer vision research field shape matching plays a central role. A typical approach is based on the analysis of contour points of the objects. In many cases this task is faced by taking into account a contour subset made up by dominant points. This paper is based on a shape matching technique described in [1] by using dominant points as contour points set. In order to obtain better results we adopt modified shape descriptors (shape contexts) by getting rotational invariance. Experimental results demonstrate the accuracy improvement and the computational time reduction.

关键词： Shape Accuracy Context Approximation methods Genetic algorithms Approximation algorithms pattern recognition

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Efficient point pattern matching algorithm for planar point sets under transform of translation, rotation and scale

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APPLIED MATHEMATICS AND COMPUTATION 2014年第0期232卷 624-631页

作者： Tang, Zhenjun Zhang, Xianquan Yu, Chunqiang He, Dan Guangxi Normal Univ Dept Comp Sci Guilin 541004 Peoples R China Guilin Univ Elect Technol Guangxi Expt Ctr Informat Sci Guilin 541004 Peoples R China Guilin Univ Elect Technol Guangxi Key Lab Trusted Software Guilin 541004 Peoples R China

Point pattern matching is an important topic in computer vision and pattern recognition, and finds many applications such as image registration, motion detection, object tracking and pose estimation. In this paper, we propose an efficient algorithm for determining correspondence between two planar point sets under transform of translation, rotation and scale. This algorithm randomly selects some points of a set and extracts their neighbor points. It views the selected points and their neighbor points as local point patterns, and finds the local matched patterns in the other set. Point pattern matching is finally achieved by counting the unique point number of those local matched point patterns with the same transform parameters. Many experiments are conducted to validate efficiency of the proposed algorithm. Running time comparisons with a well-known point pattern matching algorithm are also done and the results show that the proposed algorithm is faster than the compared algorithm. (C) 2014 Elsevier Inc. All rights reserved.

关键词： Point pattern matching Point set matching Matched points Rotation Included angle

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Robust crowd counting using detection flow

Robust crowd counting using detection flow

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IEEE International Conference on Image Processing

作者： Junliang Xing Haizhou Ai Liwei Liu Shihong Lao Computer Science and Technology Department Tsinghua University Beijing China Core Technology Center Omron Corporation Kyoto Japan

Crowd counting which aims at obtaining the number of people within a scene is an important computer vision task. While most previous methods try to count people within one frame, this paper addresses this problem using the detection flow which is defined as a set of object detection responses along the temporal video sequence. We argue that counting based on detection flow provides a better way to estimate the crowd size with following merits: 1) it can greatly alleviate the common weakness of an object detector including miss detection and false alarms; 2) it is robust to temporal object occlusions and noises; 3) it is more competent to give specific descriptions of the crowd, e.g. crowd moving directions and target locations. Experiment results on PETS 2009 dataset demonstrate the potential of this method.

关键词： Detectors Humans Robustness Visualization Feature extraction pattern recognition Indexes

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A recognition System for 3D Embossed Digits on Non-Smooth Metallic Surface

A Recognition System for 3D Embossed Digits on Non-Smooth Me...

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International Conference on computer Communication and Management（ICCCM 2011）

作者： Taweepol Suesut Suphan Gulpanich Kitti Tirasesth Department of Instrumentation and Control Engineering Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok 10520 THAILAND Department of Instrumentation and Control Engineering Faculty of Engineering King Mongkut’s Institute of Technology Ladkrabang Bangkok 10520 THAILAND

This paper presents a new solution to the automatic localization and recognition of natural digits embossed on structured and rough surfaces. A new concept of combining periodic (e.g. FFT, DCT) with polynomial moments (e.g. Tchebichef moments) is shown that the new method can eliminate some of the problems associated with the Gibbs phenomena. QR decomposition is used to obtain a unitary basis, minimizing the numerical effort when modeling surfaces. The combined moment method is used to generate a smoothed global model of the surface structure. Following segmentation of the individual digits, pattern recognition based on moment function such as Hu’s moment invariants, Zernike moments, and Orthogonal Fourier Mellin Moments was used to recognize the stamped number after analyzing 3D surface data of the steel block. A prototype system of the laser-scanning instrument was implemented and test measurements were performed in a production line. The results showed the correct functionality of the method.

关键词： Polynomial moments, 3D surface modeling, OCR, machine vision, Gibbs error

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Single image haze removal to deal with cross-color

Single image haze removal to deal with cross-color

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International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE)

作者： Guohua Zhang Taisong Jin Zhenhan Lv Lingling Li Science and technology on electro-optic control laboratory Luoyang China School of Information Science & Technology Xiamen University Xiamen China Department of Computer Science and Application Zhengzhou Institute of Aeronautical Industry Management Zhengzhou China

Single image haze removal (or de-haze) using dark channel prior model is effective when there exists a dark channel within the image. So for the images which do not meet the dark channel prior, the haze removal result may appear light pollution, cross-color. In this paper, we propose an algorithm to judge whether a single image meets the dark channel prior, and for the image that fails to meet the prior, it eliminates the cross-color influence in the image after de-hazing. Experimental results show that ours can determine whether the image meets dark channel prior, and has the better de-haze effect.

关键词： Pixel Image color analysis Helium Sparse matrices computer vision pattern recognition Conferences

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On Improving Image Segmentation

On Improving Image Segmentation

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

作者： Asmar A. Khan Costas Xydeas Hassan Ahmed School of Computing and Communications Lancaster University Lancaster UK

The proposed scheme is an approach which can be used to improve the performance of traditional image segmentation systems. The scheme is based on a framework that employs the output of an existing image segmentation process together with hierarchical clustering using an information theoretic similarity measure. Experimental results clearly show that when the scheme operates in conjunction with a state of the art image segmentation algorithm, it yields significantly superior performance over a wide spectrum of natural images. These results are based on informal subjective evaluation tests as well as on objective measurements obtained from processing the Berkeley BSDS 300 image dataset.

关键词： Image segmentation System performance Image edge detection Q measurement Training computer vision pattern recognition

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Estimation of scene illuminant chromaticity by using single image

Estimation of scene illuminant chromaticity by using single ...

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IEEE Signal Processing and Communications Applications (SIU)

作者： Şükrü Ozan Şevket Gümüştekin Elektrik Elektronik Mühendisliği Bölümü İzmir Yüiksek Teknoloji Enstitüsü Gulbahce Turkey

In this study, main goal is to estimate scene illuminant chromaticity values for each of the three color channels (red, green, blue). It is found that analysis of the pixel values, which are expressed by dichromatic reflection and inverse-intensity chromaticity space definitions, with appropriate statistical methods gives aproximate values for light source chromaticity within an acceptable error range. Single image of a scene is sufficient for calculations. We saw that chromaticity values of light sources with different colors can be approximately calculated.

关键词： Image color analysis Conferences pattern recognition Signal processing Estimation computer vision Pixel

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A rapid, one-hour method for enumeration of Escherichia coli based on computer vision technology and artificial neural network

A rapid, one-hour method for enumeration of Escherichia coli...

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2011 International Conference on computers, Communications, Control and Automation

作者： Yun Ding Zhihui Qian Editorial department of Journal of Bionic Engineering Jilin University College of Biological and Agricultural Engineering Jilin University

In order to reduce the detection time of Escherichia coli(E. coli) on fresh, minimally processed vegetables, a new close to real-time method based on artificial intelligence technology is presented. The ability of three-layer multilayer perceptron neural network(MLP) models to predict E. coli contaminated condition using feature parameters extracted from E. coli images was compared with multivariate statistical model(discriminant analysis, DA) with respect to the identification accuracy of E. coli cells. The performance of MLP was 10% better than that from the DA. Comparisons of the counts of E. coli by rapid method and by traditional method(multiple-tube fermentation technique) closed correlated(R2=0.9867). Besides the high accuracy, the total detection time was within 1 h and the detection limit was 10 cells /ml. This is a clear improvement compared with the 6 days taken to obtain results from the traditional method.

关键词： Multilayer perceptron neural network computer vision technology Artificial intelligence detection system pattern recognition

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Paracatadioptric camera calibration using sphere images

Paracatadioptric camera calibration using sphere images

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IEEE International Conference on Image Processing

作者： Huixian Duan Yihong Wu National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China

The problem of calibrating paracatadioptric camera from sphere images is still open. In this paper, we propose a calibration method for paracatadioptric camera based on spheres. We notice that, under central catadioptric camera, a sphere is projected to two conies on the image plane, which can also be seen as the projections of two parallel circles on the viewing sphere by a virtue camera. These two conies are called a pair of antipodal sphere images. Firstly, we study properties of K(K >; 3) pairs of antipodal sphere images under paracatadioptric camera. Then, they can be estimated using these properties. Finally, paracatadioptric camera can be calibrated by three pairs of antipodal sphere images or more. The method only requires the projected contour of parabolic mirror is visible on the image plane in one view. Experimental results on both simulated and real image data have demonstrated the effectiveness of our method.

关键词： Cameras Calibration Mirrors Equations Robot vision systems computer vision Vectors

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Wii Remote calibration using the sensor bar

Wii Remote calibration using the sensor bar

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IEEE computer Society Conference on computer vision and pattern recognition Workshops (CVPRW)

作者： Alparslan Yildiz Abdullah Akay Yusuf Sinan Akgul GIT Vision Laboratory Gebze Institute of Technology (GYTE) Kocaeli Turkey

Wii Remote is the standard controller of the game console Nintendo Wii®. Despite its low cost, it has a very high performance and high resolution infrared camera. It also has a built-in chip for tracking up to 4 points from the infrared images. With these properties, the Wii Remote has attracted several attempts to calibrate and use them for metric 3D information. Thanks to Wii Remote's 4 point tracking hardware, people were able to calibrate Wii Remotes using carefully designed square patterns with infrared LEDs at each corner. However, it is not easy for average Wii Remote users to implement such calibration tools. In this paper, we give an overview of the current Wii Remote calibration implementations and present a novel method to fully calibrate multiple Wii Remotes using only two points, such as the LEDs of the Sensor Bar that comes with the Wii console. For the 3D reconstruction, only two Wii Remotes and a PC is needed. We also demonstrate the usability of a full 3D tracker with a multiplayer game that receives inputs from up to 4 users with only two Wii Remotes.

关键词： Calibration Cameras Image reconstruction Three dimensional displays Light emitting diodes Materials Measurement uncertainty

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