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2013 Seventh International Conference on Image and Graphics最新文献

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Object Tracking Based on Particle Filter with Multi-scale Mode 基于多尺度模式粒子滤波的目标跟踪
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.79
Wangsheng Yu, Xiaohua Tian, Z. Hou, Guojian Wei, Wu Li
{"title":"Object Tracking Based on Particle Filter with Multi-scale Mode","authors":"Wangsheng Yu, Xiaohua Tian, Z. Hou, Guojian Wei, Wu Li","doi":"10.1109/ICIG.2013.79","DOIUrl":"https://doi.org/10.1109/ICIG.2013.79","url":null,"abstract":"In this paper, we propose a particle filter based tracker using multiscale mode to solve the scale changeable object tracking problem. Firstly, we discuss the traditional tracker's deficiency in dealing with scale changeable object and propose the multiscale mode. Then, we design our tracker under the particle filter framework using the proposed mode and \"many to one\" searching strategy. Finally, we compare our tracker with some existing trackers by tracking test on some video clips, which contain three categories of object scale change. Simulation results indicate that the proposed tracker distinctly improves both the tracking precision and efficiency. Compared with the traditional particle filter tracker, our tracker needs fewer particles and obtains more precise location and scale estimation.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"30 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120942993","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
Automatic Liver Segmentation from CT Images Using Adaptive Fast Marching Method 基于自适应快速推进方法的CT图像肝脏自动分割
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.181
Xiao Song, Ming Cheng, Boliang Wang, Shaohui Huang, Xiaoyang Huang
{"title":"Automatic Liver Segmentation from CT Images Using Adaptive Fast Marching Method","authors":"Xiao Song, Ming Cheng, Boliang Wang, Shaohui Huang, Xiaoyang Huang","doi":"10.1109/ICIG.2013.181","DOIUrl":"https://doi.org/10.1109/ICIG.2013.181","url":null,"abstract":"Liver segmentation is the fundamental step in computer-aided liver disease diagnosis and surgery planning. In this study, we developed a fully automatic liver extraction scheme based on an adaptive fast marching method (FMM). Firstly, a thresholding operation was applied to remove the ribs, spines and kidneys. Followed by a smooth filter for noise reduction. Secondly, a nonlinear gray scale converter was used to enhance the contrast of the liver parenchyma. The enhanced image is then eroded with 3-voxel radius so that small regions are deleted. The seed points located in the liver were selected automatically. Finally, using the processed image as a speed function, FMM was employed to generate the liver contour. Clinical validation has performed on 30 abdominal computed tomography (CT) datasets. The proposed algorithm achieved an overall true positive rate (TPR) of 0.98. It takes about 0.30 s for a 512×512-pixel slice. The method has been applied successfully for fast and accurate liver segmentation.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"15 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":"127052993","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: 15
Improved MAP Based Algorithm for Image Super-resolution Restoration 基于MAP的图像超分辨率恢复改进算法
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.29
Jiwen Cui, Kunpeng Feng, Wen Yu
{"title":"Improved MAP Based Algorithm for Image Super-resolution Restoration","authors":"Jiwen Cui, Kunpeng Feng, Wen Yu","doi":"10.1109/ICIG.2013.29","DOIUrl":"https://doi.org/10.1109/ICIG.2013.29","url":null,"abstract":"To enhance high frequency details of image super-resolution restoration, an algorithm based on improved MAP estimation is proposed. In this paper, POCS and MAP are combined in a special way. POCS is used in the MAP estimation so that advantages of the both algorithms can be taken. Experiment shows it is effective by comparing with the results of typical MAP method.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"17 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":"127203314","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
SAR Image Quality Assessment Based on SSIM Using Textural Feature 基于纹理特征的SSIM SAR图像质量评价
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.62
S. Jiao, Weisheng Dong
{"title":"SAR Image Quality Assessment Based on SSIM Using Textural Feature","authors":"S. Jiao, Weisheng Dong","doi":"10.1109/ICIG.2013.62","DOIUrl":"https://doi.org/10.1109/ICIG.2013.62","url":null,"abstract":"The Synthetic Aperture Radar (SAR) image quality assessment (IQA) can provide a measurement for SAR jamming effect, which is helpful to improve the jamming pattern. A texture-based SSIM (TSSIM) algorithm is proposed, because of the fact that SAR images have much texture and SSIM algorithm has good performance in optical image quality assessment. TSSIM combines the image gray intensity with textural features to measure the image structural information. The Gray Level Co-occurrence Matrix (GLCM) is adopted to extract the textural features of SAR image. The angle second moment feature is proved the best compared with the other textural features. The results of simulations have shown that TSSIM is effective and can assess the jamming effect more accurately in different regions such as complex texture and simple texture area compared with SSIM and PSNR.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"30 1 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":"122642282","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: 11
Hybrid Silhouette and Key-Point Driven 3D-2D Registration 混合轮廓和关键点驱动的3D-2D注册
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.122
Meng Zhang, Yisong Chen, Guoping Wang
{"title":"Hybrid Silhouette and Key-Point Driven 3D-2D Registration","authors":"Meng Zhang, Yisong Chen, Guoping Wang","doi":"10.1109/ICIG.2013.122","DOIUrl":"https://doi.org/10.1109/ICIG.2013.122","url":null,"abstract":"This paper proposes a 3D-2D registration method to determine the pose of a camera from an uncalibrated image of a given 3D model. Through the combined use of global silhouette comparison and local feature point matching, the camera pose of a 2D photograph can be accurately determined by minimising a hybird objective function. The registered photos can be used to stitch textures or refine the geometry of 3D models. This method can be used independently or collaboratively in image-based modeling systems to effectively treat restrictive camera-model position configurations. The experiment shows that our method is more flexible than the methods using only geometrical or local feature information.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"21 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":"121900569","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
Object Tracking Using Maximum Color Distance and Shape Density 使用最大颜色距离和形状密度的对象跟踪
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.80
Inteck Whoang, Farhan Akram, Jeong-Heon Kim, K. Choi
{"title":"Object Tracking Using Maximum Color Distance and Shape Density","authors":"Inteck Whoang, Farhan Akram, Jeong-Heon Kim, K. Choi","doi":"10.1109/ICIG.2013.80","DOIUrl":"https://doi.org/10.1109/ICIG.2013.80","url":null,"abstract":"This paper presents an effective object tracking algorithm for simultaneous changes, such as deformation, translation, scale, and color variations. The proposed algorithm is based on the maximum color distance (MCD) and the shape density. The MCD provides invariance for illuminations changes, while the shape density is the density of shape distribution corresponding to the respective distance from the center position of an object. The generated probability density function (PDF) of shape density is invariant for object orientation and robust to deformable object and linear scale variation. The initialized model of a target for PDF of the MCD and shape density is compared with candidates by Least Mean Square Error in a next frame. Experimental results show that the tracking system using the proposed algorithm with the MCD and the shape density provides effective results for simultaneous changes in target such as translation, deformation, scale and color variations.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"27 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":"122068011","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
Ultrasound Ventricular Contour Extraction Based on an Adaptive GVF Snake Model 基于自适应GVF Snake模型的超声心室轮廓提取
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.52
Gong Xiaohong, Zheng Yinfei
{"title":"Ultrasound Ventricular Contour Extraction Based on an Adaptive GVF Snake Model","authors":"Gong Xiaohong, Zheng Yinfei","doi":"10.1109/ICIG.2013.52","DOIUrl":"https://doi.org/10.1109/ICIG.2013.52","url":null,"abstract":"In order to accurately extract the ultrasound ventricular contour, an adaptive contour extraction algorithm based on a kind of active contour model was put forward against the shortcomings of the traditional GVF snake model that was difficult to converge to the deep concave edges and noise sensitivity. The algorithm was based on the traditional GGVF snake, which added a pressure pointing to the normal direction of snake contour in the part of external force, and the value of the force was adaptive to the mean gradients of the neighbor contour points. The experimental results show that the algorithm can make the contour converge to the deep cavity border fleetly and improve the robustness to noise. Furthermore, it also can maintain the ability of weak edge extraction which has a good performance of the ultrasound ventricular contour extraction.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"71 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":"116814033","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 Personal Computer Based 360 Degree Vision Distributed Aperture System 基于个人计算机的360度视觉分布式孔径系统
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.121
Xiaoming Peng, Qingbo Wang
{"title":"A Personal Computer Based 360 Degree Vision Distributed Aperture System","authors":"Xiaoming Peng, Qingbo Wang","doi":"10.1109/ICIG.2013.121","DOIUrl":"https://doi.org/10.1109/ICIG.2013.121","url":null,"abstract":"Visible light cameras are commonly used for surveillance applications. However, a single camera can only provide a limited field of view (FOV). To overcome this problem, distributed aperture systems (DAS) are developed to provide a broader FOV by combining the views from multiple cameras. In this paper, we present a personal-computer-based 360 degree vision DAS system, and describe how to offline estimate the orientations of the cameras constituting the DAS system, as well as online synthesize a virtual view in real time. Our system is able to synthesize a color virtual view of up to 2048×1024 pixels at a speed of 39 frames per second (fps). A large majority of the workload of the online synthesis of the virtual view is implemented on the Graphic Processing Unit (GPU).","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"17 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":"128476128","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
The Research on the Interface between Unreal Engine 3's Particle System and External Program 虚幻引擎3粒子系统与外部程序接口的研究
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.161
Nongliang Sun, Zuoxiao Gu
{"title":"The Research on the Interface between Unreal Engine 3's Particle System and External Program","authors":"Nongliang Sun, Zuoxiao Gu","doi":"10.1109/ICIG.2013.161","DOIUrl":"https://doi.org/10.1109/ICIG.2013.161","url":null,"abstract":"On the background of coal fire safety training, the script language of Unreal Engine 3 is used to build up a communication interface between UE3 particle system and external program via Kismet and TCP/IP socket, so that we can use external simulation program to control fires in virtual environment. How to choose the property value of particle system and expose the value to the socket, the initialization of the Unreal Script TCP/IP socket between UE3 client and external program, the type and structure in the communication, are studied. Simulation results and analysis illustrate the effectiveness of the interface.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"2 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":"128919157","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
Head Pose Estimation with Combined 2D SIFT and 3D HOG Features 结合二维SIFT和三维HOG特征的头部姿态估计
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.133
Bingjie Wang, Wei Liang, Yucheng Wang, Yan Liang
{"title":"Head Pose Estimation with Combined 2D SIFT and 3D HOG Features","authors":"Bingjie Wang, Wei Liang, Yucheng Wang, Yan Liang","doi":"10.1109/ICIG.2013.133","DOIUrl":"https://doi.org/10.1109/ICIG.2013.133","url":null,"abstract":"In this paper, an approach is presented to estimate the 3D position and orientation of head from RGB and depth images captured by a commercial sensor Kinect. We use 2D Scale-invariant feature transform (SIFT) features together with 3D histogram of oriented gradients (HOG) features which are extracted in a pair of RGB and depth images captured synchronously, named SIFT-HOG features, to improve the robustness and accuracy of head pose estimation. We apply random forests to formulate pose estimation as a regression problem, due to their power for handling large training data and the high mapping speed. And then the mean-shift method is employed to refine the result obtained by the random forests. The experiment results demonstrate that our approach of head pose estimation is efficient.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"161 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":"129270906","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: 29
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