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2013 Seventh International Conference on Image and Graphics最新文献

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Curb Detection Using 2D Range Data in a Campus Environment 在校园环境中使用二维距离数据进行路边检测
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.64
Zhao Liu, Daxue Liu, Tongtong Chen, Chongyang Wei
{"title":"Curb Detection Using 2D Range Data in a Campus Environment","authors":"Zhao Liu, Daxue Liu, Tongtong Chen, Chongyang Wei","doi":"10.1109/ICIG.2013.64","DOIUrl":"https://doi.org/10.1109/ICIG.2013.64","url":null,"abstract":"Curb detection is an important research topic for unmanned ground vehicle (UGV) navigation. In this paper, a new curb detection method is proposed using a 2D laser range finder in a campus environment. Firstly, a local Digital Elevation Map (DEM) is built with 2D sequential laser range finder data and vehicle state information. Then, the curb candidate points are extracted considering the moving direction of the vehicle in the local DEM. Finally, the 1D Gaussian process regression is firstly used for curb detection, and the initial training curb data are obtained online by the extracted straight curbs. The proposed method has been verified in different scenes with the real vehicle platform, and it can detect the straight and curved curbs robustly in a campus environment.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115930069","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: 8
Automatic Segmentation of White Matter Lesion from Multi-channel MRI Data Based on Energy Minimization 基于能量最小化的多通道MRI白质损伤自动分割
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.182
Jingjing Gao, Chunming Li
{"title":"Automatic Segmentation of White Matter Lesion from Multi-channel MRI Data Based on Energy Minimization","authors":"Jingjing Gao, Chunming Li","doi":"10.1109/ICIG.2013.182","DOIUrl":"https://doi.org/10.1109/ICIG.2013.182","url":null,"abstract":"The detection of multiple sclerosis lesion is important for many neuroimaging studies. In this paper, a new automatic algorithm for lesion segmentation based on the multi-channel MR images (T1w, T2w and FLAIR image) is proposed, which utilizes the unique and complementary intensity information of multi-channel MR images. In this method, the observed multi-channel MR images are modeled as a vector valued image. The image in each channel consists of two multiplicative components: a smooth varying bias filed vector and a piecewise approximately constant true image vector. An energy function of this vector valued image is defined in term of the property of true image and bias field. The energy minimization is proposed for seeking the optimal segmentation result of lesions. Our method is applied to the real multi-channel MR images and compared with two sets of manual segmentation followed by the quantitative evaluation. The experimental results show that our approach is effective and robust for the lesion segmentation.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121512543","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
Cartoon Rendering Illumination Model Based on Phong 基于Phong的卡通渲染照明模型
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.185
Shaohao Wang, Yurui Wei, Chengying Gao
{"title":"Cartoon Rendering Illumination Model Based on Phong","authors":"Shaohao Wang, Yurui Wei, Chengying Gao","doi":"10.1109/ICIG.2013.185","DOIUrl":"https://doi.org/10.1109/ICIG.2013.185","url":null,"abstract":"3D cartoon rendering has broad application prospect in games, movies and cartoons. To this end, this paper introduces a cartoon rendering illumination model improved from Phong illumination model, and realizes it with 3ds Max SDK in the form of plug-ins. By discretizing diffuse reflection part and specular reflection part in the Phong illumination model, surfaces of models show different blocks of color, among which there are clear boundaries. In addition, by using linear interpolation between different color blocks, boundaries can be soften. The experimental results show that this cartoon rendering illumination model can not only make a cartoon appearance, but also mix with Phong illumination model, and achieve a unique effect.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114691391","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
Region-Based Spatial Sampling for Image Classification 基于区域的空间采样图像分类
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.177
Peng Ji, Shengye Yan, Qingshan Liu
{"title":"Region-Based Spatial Sampling for Image Classification","authors":"Peng Ji, Shengye Yan, Qingshan Liu","doi":"10.1109/ICIG.2013.177","DOIUrl":"https://doi.org/10.1109/ICIG.2013.177","url":null,"abstract":"Local descriptors with Bag-of-Words representation were widely used for image classification. Especially, local descriptors of dense spatial sampling were demonstrated to be able to further improve performances of image classification. However, denser spatial sampling is impractical due to huge computation cost. To handle this issue, we propose a new region-based sampling strategy in this paper. We first perform an over-segmentation to get image regions, and then we extract local descriptors around the region boundaries and inside the regions respectively with a popular sampling strategy. Thus, almost at the same computation cost, the proposed method can capture more salient points and obtain much better classification performance. Extensive experiments are conducted on two widely-used datasets (UIUC Sports and Caltech-101). The experimental results demonstrate the effectiveness of the proposed method. Specifically, the proposed method updates the state-of-the-art on UIUC Sports dataset with a classification accuracy of 89.38%.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124731024","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
Moving Object Tracking Method Based on Topology Structure 基于拓扑结构的运动目标跟踪方法
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.78
Nongliang Sun, Qingfei Wang
{"title":"Moving Object Tracking Method Based on Topology Structure","authors":"Nongliang Sun, Qingfei Wang","doi":"10.1109/ICIG.2013.78","DOIUrl":"https://doi.org/10.1109/ICIG.2013.78","url":null,"abstract":"Moving object tracking is one of key issues in the current artificial intelligence and computer vision fields with broad application prospects. A moving object tracking method is proposed to acquire location and angle information from moving graphic modules designed in this paper to represent musical instrument with topology structure. With the topology information as the object feature, the method proposed is real-time and robust for the target's rotation, translation, scale changes and geometric deformation to some extent.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123392241","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
Research on the Occlusion Processing Method for True Orthophoto 真正射影像遮挡处理方法研究
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.71
Fangming Qian, Liu Wei
{"title":"Research on the Occlusion Processing Method for True Orthophoto","authors":"Fangming Qian, Liu Wei","doi":"10.1109/ICIG.2013.71","DOIUrl":"https://doi.org/10.1109/ICIG.2013.71","url":null,"abstract":"An optimized occlusion detection method for true orthophoto make is proposed in this paper, aimed at solving the occlusion and shadow problems caused by rectification using digital surface model (DSM). This method draws lessons from sweep way of angle-based detection method and idea of radial tracing detection method. It adds three judge rules to the occlusion detection process to increase its executing efficiency. Using neighbor image's best corresponding pixels can compensate the occlusion area.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123736353","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
Audio-Visual Emotion Recognition Using Neural Networks Learned with Hints 利用提示学习的神经网络进行视听情感识别
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.109
Kun Lu, Xin Zhang
{"title":"Audio-Visual Emotion Recognition Using Neural Networks Learned with Hints","authors":"Kun Lu, Xin Zhang","doi":"10.1109/ICIG.2013.109","DOIUrl":"https://doi.org/10.1109/ICIG.2013.109","url":null,"abstract":"This paper presents a neural network (NN) based multimodal fusion classifier for automatic emotion recognition. The audio and visual channels provide complementary information, so we utilize features from three behavioral cues: frontal-view facial expression, profile-view facial expression and vocalization (audio). The problem of interest is to recognize basic emotions, and we use dimensional representation of emotion as the heuristic information (hints) when training NNs used for both single cue processing and multimodal fusion. With the aid of hints, the weights of NNs could learn optimized feature groupings and recognition accuracy of our classifier would be notably improved even when training data is insufficient. Experimental results on audio-visual emotion data recorded by ourselves in Wizard of Oz scenarios and emotion data from the Semaine naturalistic database both demonstrate that our approach is effective and promising.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115048570","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
Automatic Computation of Liver Volume from Living Donor for Liver Transplantation Procedure 肝移植活体供体肝体积的自动计算
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.180
Hsien-Wen Chiang, T. Chuang
{"title":"Automatic Computation of Liver Volume from Living Donor for Liver Transplantation Procedure","authors":"Hsien-Wen Chiang, T. Chuang","doi":"10.1109/ICIG.2013.180","DOIUrl":"https://doi.org/10.1109/ICIG.2013.180","url":null,"abstract":"The proposed method aims to estimate liver volumes of donors, who are still alive, in the procedures of liver transplantation (LDLT). Manual estimation of liver volumes require manual tracing of liver borders and hence is a very time-consuming and tedious task. Accordingly, our objective is to develop an automatic, computer-aided system to correctly define the boundaries of livers of interest. In this study, a computer program is developed based on Mat lab for the management of CT liver scans. We use the region growing algorithm to demarcate the liver in CT images to obtain the volumetric measurements. In practice, the program carries out a high-performance 2D parallel pixel-growing algorithm to delineate the liver border from neighboring organs. The area measurements in all image slices depicting the liver of interest are summated as the final volumetric measurement. The estimated of liver volumes by our method are compared to manual measurements which were done by a radiologist. The experimental results suggest that the proposed computer-aided system is reliable and can finish the computation in satisfactory speed.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116148156","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
The Application of Local Structure Classification in Content-Based 3D Medical Image Retrieval 局部结构分类在基于内容的三维医学图像检索中的应用
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.132
Shuzhao Dong, Kaikun Dong, L. Yin
{"title":"The Application of Local Structure Classification in Content-Based 3D Medical Image Retrieval","authors":"Shuzhao Dong, Kaikun Dong, L. Yin","doi":"10.1109/ICIG.2013.132","DOIUrl":"https://doi.org/10.1109/ICIG.2013.132","url":null,"abstract":"An approach is proposed to classify local structures for 3D medical images into line-like, blob-like and sheet-like patterns in different sizes. This approach is based on the second-order derivatives in multiscale space, using normalized response functions. The application of this approach in content-based 3D medical image retrieval is discussed. Experiments on CT images are performed and the method is proved to be efficient for filtering specific local structures in selected range of sizes.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116429628","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
Statistical Analysis of High Resolution TerraSAR-X Images for Ground Targets Detection 用于地面目标检测的高分辨率TerraSAR-X图像的统计分析
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.74
W. Ni, Weidong Yan, Hui Bian, Junzheng Wu, Gang Zheng
{"title":"Statistical Analysis of High Resolution TerraSAR-X Images for Ground Targets Detection","authors":"W. Ni, Weidong Yan, Hui Bian, Junzheng Wu, Gang Zheng","doi":"10.1109/ICIG.2013.74","DOIUrl":"https://doi.org/10.1109/ICIG.2013.74","url":null,"abstract":"TerraSAR-X is a new generation of high-resolution (1 m) space borne Synthetic Aperture Radar (SAR) satellite, which makes ground targets detection (GTD), one of the hot problems in SAR image application fields, possible. As for the mostly used CFAR algorithm for GTD, the statistical analysis of SAR image is an essential step in threshold calculation. However, it has been proved that the traditionally used Rayleigh distribution is no longer suitable to modelling the statistical characteristics of 1 m resolution TerraSAR-X image with ground targets. To model these heavy-tailed distributions, some other distributions, including Gamma, Weibull, lognormal and K distribution models have been applied. According to the analysis of large numbers of experiment results, lognormal distribution model is selected to describe the statistical characteristics of the high resolution SAR images with ground targets. Then genetic algorithm (GA) is adopted to efficiently estimate the model parameters as accurately as possible, which are subsequently used to calculate the global CFAR detection threshold. The experiments indicate that, lognormal distribution model with GA based parameters computation are more suitable than Gamma, Weibull and K distribution models to describe the statistical characteristics of the high resolution SAR images, which is propitious to performance improvement of the global CFAR algorithm.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114658654","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
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