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2009 Second International Conference on Machine Vision最新文献

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Fingerprint Verification Using the Texture of Fingerprint Image 基于指纹图像纹理的指纹验证
2009 Second International Conference on Machine Vision Pub Date : 2009-12-28 DOI: 10.1109/ICMV.2009.18
M. Khalil, Dzulkifli Muhammad, Q. Al-Nuzaili
{"title":"Fingerprint Verification Using the Texture of Fingerprint Image","authors":"M. Khalil, Dzulkifli Muhammad, Q. Al-Nuzaili","doi":"10.1109/ICMV.2009.18","DOIUrl":"https://doi.org/10.1109/ICMV.2009.18","url":null,"abstract":"In this paper, a fingerprint verification method is presented that improves matching accuracy by overcoming the shortcomings of previous methods due to missing some minutiae, non-linear distortions, and rotation and distortion variations. It reduces multi-spectral noise by enhancing a fingerprint image to accurately and reliably determine a reference point and then extract a 129 X 129 block, making the reference point its center. From the 4 co-occurrence matrices four statistical descriptors are computed. Experimental results show that the proposed method is more accurate than other methods the average false acceptance rate (FAR) is 0.62%, the average false rejection rate (FRR) is 0.08%, and the equal error rate (EER) is 0.35%.","PeriodicalId":315778,"journal":{"name":"2009 Second International Conference on Machine Vision","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132143821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
A Review of Shadow Techniques in Augmented Reality 增强现实中的阴影技术综述
2009 Second International Conference on Machine Vision Pub Date : 2009-12-28 DOI: 10.1109/ICMV.2009.41
Zakiah Noh, M. S. Sunar
{"title":"A Review of Shadow Techniques in Augmented Reality","authors":"Zakiah Noh, M. S. Sunar","doi":"10.1109/ICMV.2009.41","DOIUrl":"https://doi.org/10.1109/ICMV.2009.41","url":null,"abstract":"The seamless integration between computer-generated objects with real scene is desirable in Augmented Reality applications. The challenging task in Augmented Reality application is to make virtual objects mixed harmoniously with the real scene. To achieve these photorealistic rendering, it is not only considering visual complexity of virtual objects but the consistency of illumination between virtual objects with real scene must also be determined. With the consistency of illumination, virtual objects can cast shadows that appear as part of the real scene. The consistent shadow of the virtual objects will give a correct explanation of the relative distance between the virtual and the real objects. This paper will explore regarding shadow techniques to improve photorealism for rendering virtual objects in Augmented Reality system. The evaluation among previous techniques presented in this paper is also important as a preliminary step for future findings related to the field of Augmented Reality","PeriodicalId":315778,"journal":{"name":"2009 Second International Conference on Machine Vision","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132316158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Performance Enhancement of Coded Excitation in Ultrasonic B-mode Images 超声b型图像编码激励的性能增强
2009 Second International Conference on Machine Vision Pub Date : 2009-12-28 DOI: 10.1109/ICMV.2009.62
Elham Behradfar, A. Mahloojifar, Amir E. Behradfar
{"title":"Performance Enhancement of Coded Excitation in Ultrasonic B-mode Images","authors":"Elham Behradfar, A. Mahloojifar, Amir E. Behradfar","doi":"10.1109/ICMV.2009.62","DOIUrl":"https://doi.org/10.1109/ICMV.2009.62","url":null,"abstract":"This paper presents a new coded excitation/pulse compression scheme that efficiently increase the signal to noise ratio, spatial resolution and image contrast using a modified matched filter. The proposed method implements a simple form of spatial filtering and uses a filter bank of spatial match filters, with each filter designed to reconstruct the image along one A-line. The method is evaluated through simulations with the Field II program using a linear array. The receiving array employs a conventional delay and sum beamformer followed by a bank of compression filters matched to the echo signal sample (ESS), each filter associated with echoes from a specific direction. Simulation results revealed that this approach generates higher lateral resolution and relatively lower range sidelobe amplitudes, as compared with other compression schemes, acceptable for many industrial and medical imaging applications without time weighting. Further sidelobe reduction was achieved through applying Taylor weighting function without considerable sacrificing axial resolution whereas the highest sidelobe was lower than 60 dB. Additionally an eSNR improvement about 20 dB can be expected in comparison with conventional pulsing technique.","PeriodicalId":315778,"journal":{"name":"2009 Second International Conference on Machine Vision","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131341081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
A New Method of Correspondence for Multiple Cameras Based on Texture Energy 一种基于纹理能量的多相机对应方法
2009 Second International Conference on Machine Vision Pub Date : 2009-12-28 DOI: 10.1109/ICMV.2009.34
Liu Qiangqiang, Luo Xiling, Zhang Jun
{"title":"A New Method of Correspondence for Multiple Cameras Based on Texture Energy","authors":"Liu Qiangqiang, Luo Xiling, Zhang Jun","doi":"10.1109/ICMV.2009.34","DOIUrl":"https://doi.org/10.1109/ICMV.2009.34","url":null,"abstract":"This paper proposes a new target matching method for multiple cameras based on texture energy. The target region is represented by texture energy instead of traditional color features. In our method, the frame-difference is used in multi-target detecting, and the kalman filter is utilized in multi-target tracking. None camera calibrations are required in the new method, neither the constraint that all objects stand in the same plane. The main features of the method are highlighted as follows: (1) Non geometry constraints are required, i.e. none the posture and the position of the target is required, and neither the position of camera is required. (2)Many types of objects including cars and persons are supported. (3)It is robust to changes of the light intensity. Experimental results show that the method is more efficient than the region-sift descriptor based method of correspondence, because the dimension is far less than the region-sift based method. However, the method in this paper is less accurate than the region-sift descriptor based method.","PeriodicalId":315778,"journal":{"name":"2009 Second International Conference on Machine Vision","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116531240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Hybrid Particle Swarm Steepest Gradient Algorithm for Elastic Brain Image Registration 弹性脑图像配准的混合粒子群最陡梯度算法
2009 Second International Conference on Machine Vision Pub Date : 2009-12-28 DOI: 10.1109/ICMV.2009.20
Hadi Rezaei, S. Azadi, Mina Ghorbani
{"title":"A Hybrid Particle Swarm Steepest Gradient Algorithm for Elastic Brain Image Registration","authors":"Hadi Rezaei, S. Azadi, Mina Ghorbani","doi":"10.1109/ICMV.2009.20","DOIUrl":"https://doi.org/10.1109/ICMV.2009.20","url":null,"abstract":"Over the course of a neurosurgical procedure, the brain changes its shape in reaction to mechanical and physiological changes associated with the surgery. Hence the use of elastic registration is required. In this paper, we propose a hybrid particle swarm with gradient descent algorithm named as HPSO to solve the problem of Elastic brain Image Registration. The main idea is to find the best transformation function that aligns two images by maximizing a similarity measure through HPSO. There are two major optimization methods, global and local methods. The basic problem with local methods such as steepest gradient is that they usually trap in a local minimum. However, steepest gradient will usually converge even for poor initial approximation. On the other hand, the basic PSO as a global method is sensitive to its initial values. So, we decide to use the steepest gradient as a starting approximation for the PSO method. The results from our experiments show that this hybrid algorithm, besides its simplicity, provides a robust, accurate and effective way for elastic brain image registration.","PeriodicalId":315778,"journal":{"name":"2009 Second International Conference on Machine Vision","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114428801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Trade-Off between Imperceptibility and Robustness of LSB Watermarking Using SSIM Quality Metrics 基于SSIM质量度量的LSB水印的不可感知性和鲁棒性权衡
2009 Second International Conference on Machine Vision Pub Date : 2009-12-28 DOI: 10.1109/ICMV.2009.68
S. Fazli, Gholamreza Khodaverdi
{"title":"Trade-Off between Imperceptibility and Robustness of LSB Watermarking Using SSIM Quality Metrics","authors":"S. Fazli, Gholamreza Khodaverdi","doi":"10.1109/ICMV.2009.68","DOIUrl":"https://doi.org/10.1109/ICMV.2009.68","url":null,"abstract":"This Paper investigates trade-off between imperceptibility and robustness of LSB watermarking. LSB algorithm is one of the earliest types of image watermarking. In this algorithm significant bit-planes of the watermark image are put instead of lower bit-planes of the asset picture. So, we investigate the effect of image compression on the watermark, and finally we evaluate the robustness and imperceptibility by measuring the distortion due to watermarking using two quality metrics: MSE and 1 – SSIM.","PeriodicalId":315778,"journal":{"name":"2009 Second International Conference on Machine Vision","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122599043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 20
A Trainer System for Air Rifle/Pistol Shooting 气枪/手枪射击训练系统
2009 Second International Conference on Machine Vision Pub Date : 2009-12-28 DOI: 10.1109/ICMV.2009.74
Hlk Silva, S. D. Uthuranga, B. Shiyamala, W.D.C.K.T. Kumarasiri, H. Walisundara, Gti Karunarathne
{"title":"A Trainer System for Air Rifle/Pistol Shooting","authors":"Hlk Silva, S. D. Uthuranga, B. Shiyamala, W.D.C.K.T. Kumarasiri, H. Walisundara, Gti Karunarathne","doi":"10.1109/ICMV.2009.74","DOIUrl":"https://doi.org/10.1109/ICMV.2009.74","url":null,"abstract":"With the immense competition in the current sports world, the technology has come in to the picture in a substantial way to outperform other competitors in the sport. But, in Sri Lanka, most of local sportsman could not gain a proper training which is backed by technology to reach international levels. This is common for the Air Rifle/Pistol shooting sport as well that has a great potential to produce Sri Lankan Olympic winners. This paper mainly addresses this lack of technological aid that can be used to assist shooters and their trainers to reach Olympic medals. In addition, we look into a trainer system solution, based on the requirements received from the shooters and trainers which consist of hardware and software components. Hardware components help to handle the physical activities of the sport and to derive inputs from the shooter. The software module is used to do the analysis of the results where performance and psychological inputs from the hardware module are analyzed and the result is displayed. In addition to these, a decision support system is integrated to the software with the intention of assisting the coaches’ decisions. The inputs derived through Infrared resource as well; also video processing techniques have been used to process the optimum positions of the movement of the hand. Further system has been tested and found optimal accuracy. Further more this paper reports that our solution will become vital to train the shooters with the usage of latest technology in the lowest cost, so that our country can triumph a gold medal in Air Rifle/Pistol shooting in Olympic Games","PeriodicalId":315778,"journal":{"name":"2009 Second International Conference on Machine Vision","volume":"23 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127011313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
SVMs Interpolation Based Edge Correction Scheme for Color Filter Array 基于支持向量机插值的彩色滤波器阵列边缘校正方案
2009 Second International Conference on Machine Vision Pub Date : 2009-12-28 DOI: 10.1109/ICMV.2009.27
Baiting Zhao, Xiaofen Jia
{"title":"SVMs Interpolation Based Edge Correction Scheme for Color Filter Array","authors":"Baiting Zhao, Xiaofen Jia","doi":"10.1109/ICMV.2009.27","DOIUrl":"https://doi.org/10.1109/ICMV.2009.27","url":null,"abstract":"To settle the problem of blurring and visible artifacts around the edge regions of color filter array (CFA) interpolation images, a Support Vector Machines (SVMs) interpolation based edge correction scheme is proposed. In this scheme, a simple CFA interpolation method is used, and the support vector regression (SVR) is trained to rectify the color values at the edge of the result image. This scheme can produce visually pleasing full-color images and obtain better PSNR results than other conventional CFA interpolation algorithms. The correction is concentrated on the edge region, because the human perception is mainly focusing on edge region. The scheme can reduce the training time effectively, and can combine with other CFA interpolation algorithms freely. Simulation studies indicate that the proposed algorithm is effective.","PeriodicalId":315778,"journal":{"name":"2009 Second International Conference on Machine Vision","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121735724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Experimental Machine Vision System for Quality Control of Industrial Colour Printer 用于工业彩色打印机质量控制的实验机器视觉系统
2009 Second International Conference on Machine Vision Pub Date : 2009-12-28 DOI: 10.1109/ICMV.2009.59
Mohammad Amini, J. Shanbehzadeh
{"title":"An Experimental Machine Vision System for Quality Control of Industrial Colour Printer","authors":"Mohammad Amini, J. Shanbehzadeh","doi":"10.1109/ICMV.2009.59","DOIUrl":"https://doi.org/10.1109/ICMV.2009.59","url":null,"abstract":"Quality control is the final process in the product line; therefore, it is of the utmost importance. To evaluate the industrial print characteristics it is necessary to analyze the scanned micro-samples of the printing sheets. The accuracy of the micro-sample indicates the high quality of prints. In this paper, the authors propose a high quality image acquisition and an algorithm to automate the color prints inspection process, which employs multi-thresholding on HSI color space for color image processing and mathematical and statistical techniques for feature extraction.","PeriodicalId":315778,"journal":{"name":"2009 Second International Conference on Machine Vision","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128438229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Compressing of Fingerprint Images by Means of Fractals Feature 基于分形特征的指纹图像压缩
2009 Second International Conference on Machine Vision Pub Date : 2009-12-28 DOI: 10.1109/ICMV.2009.26
M. Jampour, H. Shojaei, Maryam Ashourzadeh, M. Yaghoobi
{"title":"Compressing of Fingerprint Images by Means of Fractals Feature","authors":"M. Jampour, H. Shojaei, Maryam Ashourzadeh, M. Yaghoobi","doi":"10.1109/ICMV.2009.26","DOIUrl":"https://doi.org/10.1109/ICMV.2009.26","url":null,"abstract":"Today one of the most applicable methods of identity evaluation is identifying based on fingerprint. Now days, various methods and strategies for identifying fingerprint among modern identifying methods becomes common and usual; but on of the remarkable points is about the volume of saving huge amount of fingerprint images into databases which is so effective on this issue. In this article, a desirable compressing method for fingerprint images is presented that is by means of fractals' specialties. That is, in addition to introducing of 6 basic families for making samples in fingerprint images and by using rotationally geometrical conversion - which is of stable characteristics of fractal images - the encrypting of appropriate parts is done and starts compressing these images. The results from the above method are relatively improved in comparison with other common methods such as JPEG.","PeriodicalId":315778,"journal":{"name":"2009 Second International Conference on Machine Vision","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131636280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
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