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2011 4th International Congress on Image and Signal Processing最新文献

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Visual categorization method with a Bag of PCA packed Keypoints 视觉分类方法与一个袋的PCA包装关键点
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100330
Sho Okumura, Naoya Maeda, Kiyoshi Nakata, Kazunori Saito, Y. Fukumizu, Hironori Yamauchi
{"title":"Visual categorization method with a Bag of PCA packed Keypoints","authors":"Sho Okumura, Naoya Maeda, Kiyoshi Nakata, Kazunori Saito, Y. Fukumizu, Hironori Yamauchi","doi":"10.1109/CISP.2011.6100330","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100330","url":null,"abstract":"Visual categorization is one of a key function in the next generation of a driving assist system, which is expected to reduce a traffic accident. This paper proposes a high performance visual categorization method, which is based on Feature Accelerated Segment Test (FAST) feature point detectors, Histograms of Oriented Gradients (HOG) feature descriptors and Bag-of-Keypoints (BoK). Each feature descriptors were orthogonalized by applying the Principal Component Analysis (PCA) to reduce the size of dimension. As a result, our proposed method has achieved the recognition rate of 69.5% and the performance of 43.1 ms on a PC in order to categorize one object in an image into traffic related categories, i.e. pedestrians, cars, bikes, bicycles, and so on. The comparison with conventional methods will be also discussed.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124204794","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: 3
A new feature detection method based on gray gradient sequence 一种新的基于灰度梯度序列的特征检测方法
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100272
Yan Liu
{"title":"A new feature detection method based on gray gradient sequence","authors":"Yan Liu","doi":"10.1109/CISP.2011.6100272","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100272","url":null,"abstract":"Based on the discreteness of existing form and the continuity of energy distribution of digital image, this paper presents a new local feature detection method. The proposed method realizes the local feature detection of optical image, radar image and infrared image based on gray gradient sequence and 1-D Hilbert-huang transform method. Experimental results show that this method can describe and detect common local feature of single-sensor images and multi-sensor images efficiently for image registration application.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124291639","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
Lattice Boltzmann flow simulation with particle system 粒子系统晶格玻尔兹曼流动模拟
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100611
Changbo Wang, Zhuopeng Zhang, Wenlu Yan
{"title":"Lattice Boltzmann flow simulation with particle system","authors":"Changbo Wang, Zhuopeng Zhang, Wenlu Yan","doi":"10.1109/CISP.2011.6100611","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100611","url":null,"abstract":"Considering the characters of flow field for nature scenes, this paper applies GPU-based LBM computing into rendering natural scenes with large-scale particle system. We present a new Frame Buffer Object (FBO), multi-channel rendering process and GPU-based particle system combination methods. We propose a new GPU-based rendering pipeline to update the velocity of Boltzmann flow field and the positions of particles through two GPU textures at the same time. Finally, several natural scenes, such as spreading smokes, moving fog, snowing and scattered petals, are realistically simulated in real time.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124560363","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: 1
An improved SIFT operator-based image registration using cross-correlation information 一种改进的SIFT算子图像配准方法
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100362
Huer Wen, Xia You Sheng
{"title":"An improved SIFT operator-based image registration using cross-correlation information","authors":"Huer Wen, Xia You Sheng","doi":"10.1109/CISP.2011.6100362","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100362","url":null,"abstract":"SIFT operator-based registration methods have been found efficient matches between features with unique local neighborhoods, yet they fail to handel global context to resolve ambiguities that can occur locally when images to be registered have similar regions. This paper presents an novel image registration method, based on local SIFT operator and cross-correlation information. The cross-correlation information can discriminate local features that have similar local appearance. Moreover, the proposed image registration algorithm has better robust performance in matching under noise environments. Simulation results confirm that the proposed algorithm can give better image match than two related image registration algorithms under noise environments.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114340261","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: 12
Iterative cascade parallel N-FINDR algorithm for hyperspectral remote sensing image exploration 高光谱遥感影像探测的迭代级联并行N-FINDR算法
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100399
W. Luo, Feiyu Li
{"title":"Iterative cascade parallel N-FINDR algorithm for hyperspectral remote sensing image exploration","authors":"W. Luo, Feiyu Li","doi":"10.1109/CISP.2011.6100399","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100399","url":null,"abstract":"Hyperspectral remote sensing image processing has become a fast growing technique in the field of remote sensing. One of the most important hyperspectral remote sensing image processing is spectral unmixing that is to decompose a mixed pixel into a collection of endmembers their corresponding abundance fractions. N-FINDR is one of the most classical and commonly used endmember extraction algorithms. However, it is a time-consuming task, even in the parallel version. This paper considers a new parallel N-FINDR algorithm, called iterative cascade parallel N-FINDR algorithm, which improves the performance of parallel N-FINDR. In experiment, our proposed algorithm demonstrates high performance for endmember extraction.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114395651","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
Side view pose estimation of human from images using prior knowledge 基于先验知识的人体侧视图姿态估计
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100512
Cong Chen, Huaqing Ming, Ronghua Luo
{"title":"Side view pose estimation of human from images using prior knowledge","authors":"Cong Chen, Huaqing Ming, Ronghua Luo","doi":"10.1109/CISP.2011.6100512","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100512","url":null,"abstract":"A new framework is proposed to estimate the side view pose of human from still images. The framework applies pose prior knowledge into the pose estimation process of pictorial structure and get a good performance. This paper has three main research contributions: 1.Proposing a new silhouette extraction method based on color clustering analysis and foreground highlighting; 2.Proposing a hierarchical pose classification method to solve the pose-duality problem and a learning method for pose prior knowledge from training set; 3. Proposing the pose prior knowledge restricted image parsing process to make up the image information loss due to the inter-occluded between body parts and improve the estimated performance. Experiment results on estimating the human walking pose prove that the framework can evidently reduce the interference from background clutter and is able to estimate the reliable side view pose of human from still images.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114473741","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
The develop of the bombdisposed robot control system base on stereo vision 基于立体视觉的投弹机器人控制系统的研制
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100567
W. Fu, Chengxian Zhou
{"title":"The develop of the bombdisposed robot control system base on stereo vision","authors":"W. Fu, Chengxian Zhou","doi":"10.1109/CISP.2011.6100567","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100567","url":null,"abstract":"Mechanical design and kinematics analysis of bomb—disposed robot manipulator were iscussed in this paper, and kinematics model was stablished Armed at solving the problems appeared in researchin remote control system of the bomb-disposed robot, a five-DOF manipulator and two directions of the freedom are produced, and the manipulator joint angle of the geometric method is given which avoided finding the solution of inverse process of the kinematics. To solve the problems appeared in the research process of the clamping mechanism of explosive handling robot's paw, stereo vision identification system is used, producing weight and clamping width estimation in the image of the suspicious explosive object. According to the monochrome gray scale difference in coloums of image matrix of pre explosive object, the estimation way of explosive object surface roughness is gained The project is feasible proved by my experiment.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115001940","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
Texture preserving Perona-Malik model 纹理保留Perona-Malik模型
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100263
Xiaobo Zhang, Xiangchu Feng
{"title":"Texture preserving Perona-Malik model","authors":"Xiaobo Zhang, Xiangchu Feng","doi":"10.1109/CISP.2011.6100263","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100263","url":null,"abstract":"The Perona-Malik (PM) model, an effective anisotropic diffusion, can preserve edges while removing the noise. However, the disadvantage of the PM model is tending to impair textures and details so that denoising is not sufficient in the whole process. For this reason, we present a novel texture preserving Perona-Malik (TPPM) models based on the local directional variance. In the TPPM model, the diffusion coefficient of the PM model is adaptively determined to be low diffusion in large variance domain and be high diffusion in low variance domain. The related parameters are studied. Comparative results on real image denoising demonstrate that our model outforms the PM model, classical total variational (TV) method, a wavelet-based method and a nonlocal means filter in signal-to-noise ratio. The proposed model is also competitive with other methods visually. Furthermore, the execution times are very fast.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115043647","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: 3
Application of machine vision in seedling automatic grafting robot 机器视觉在秧苗自动嫁接机器人中的应用
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100478
S. Tian, Tianlai Li
{"title":"Application of machine vision in seedling automatic grafting robot","authors":"S. Tian, Tianlai Li","doi":"10.1109/CISP.2011.6100478","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100478","url":null,"abstract":"Vegetable grafting is one of the most effective means to resist soil-born diseases and to improve yield. Manual grafting has the problems of low production and poor grafting quality, so grafting robot is significant for the development of vegetable grafting production. However, the automation level is still relatively low. So the introduction of computer vision technique into grafting robot has great significance in promoting the intelligent control level in greenhouse. In this paper, development and current status of domestic and foreign automatic grafting machine was introduced simply, and review of recent application of computer vision in seedling automatic grafting robot was summarized in detail.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116398269","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: 1
Anisotropic diffusion with edge projection 具有边缘投影的各向异性扩散
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100326
Gang Qiao, Wei Zhang, S. Kamata
{"title":"Anisotropic diffusion with edge projection","authors":"Gang Qiao, Wei Zhang, S. Kamata","doi":"10.1109/CISP.2011.6100326","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100326","url":null,"abstract":"In image processing, anisotropic diffusion provides a forward method to remove noise while preserving edges accurate and sharp. However, due to the inappropriate edge estimation by gradient, some isolated noise points still exist and edge location is inaccurate. In this representation, isolated noise points and edges are distinguished by the significant difference of their “lengths”, which are computed by orthogonally projecting their pixels to the corresponding normalized gradient directions and recording the number of the same projections. Combining gradient and “length” to estimate edges, isolated noise points are further suppressed while edges are re-located and enhanced.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123492455","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
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