2013 Seventh International Conference on Image and Graphics最新文献

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A Real-Time Full HD 2D-to-3D Video Conversion System Based on FPGA 基于FPGA的实时全高清2d - 3d视频转换系统
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.157
Shao-Jun Yao, Lianghao Wang, Dongxiao Li, Ming Zhang
{"title":"A Real-Time Full HD 2D-to-3D Video Conversion System Based on FPGA","authors":"Shao-Jun Yao, Lianghao Wang, Dongxiao Li, Ming Zhang","doi":"10.1109/ICIG.2013.157","DOIUrl":"https://doi.org/10.1109/ICIG.2013.157","url":null,"abstract":"The 2D to 3D conversion technique plays an important role in the development and promotion of three-dimensional television (3DTV), because it can provide adequate supply of high-quality 3D program content. This Paper focuses on the real-time implementation of 2D-3D system, of which the major parts are source depth-map generation and depth image-based rendering (DIBR). The depth-map is generated by multi-depth cues, according to the types of the 2D scene, including luminance and color, visual saliency and adaptive depth models. Then the original 2D image or video is converted to stereoscopic one by DIBR with the depth map. The proposed system is accelerated by being designed in new hardware architecture on FPGA. Our method is verified on various sequences and experiment results show that, the system can achieve 30 frames per second for processing full HD (1920×1080) video on Xilinx Virtex IV XC4VSX25 while the resulting image or video is both realistic and visual pleasing.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"110 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":"115727175","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: 7
3D Segmentation of the Lung Based on the Neighbor Information and Curvature 基于邻域信息和曲率的肺三维分割
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.34
Yuankai Qi, Kaikun Dong, L. Yin, Mingchao Li
{"title":"3D Segmentation of the Lung Based on the Neighbor Information and Curvature","authors":"Yuankai Qi, Kaikun Dong, L. Yin, Mingchao Li","doi":"10.1109/ICIG.2013.34","DOIUrl":"https://doi.org/10.1109/ICIG.2013.34","url":null,"abstract":"A novel method for the automatic segmentation of the lung in X-ray computed tomography (CT) images is presented. In this paper, a maximum a posteriori (MAP) estimation framework, combining neighbor prior information and image gray level information, is used to extract the boundary of lung. The relationship of the left lung and the right lung is represented as a joint density function. We use the principal component analysis (PCA) to build the neighbor prior model in a set of training images. A double dimension reduction algorithm is developed to improve the efficiency. The model is formulated in terms of level set functions, and the surfaces evolve according to the associated Euler-Lagrange equations. Then we propose a new algorithm to refine the rough boundary generated by the MAP framework. This algorithm consists of two stages: 1. automatically detecting and rough fitting the region of lung hilum, 2. refining the fitting curve based on the curvature information.","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":"134633186","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
An Efficient Adaptive Total Variation Regularization for Image Denoising 一种有效的自适应全变分正则化图像去噪方法
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.17
Xueying Zeng, Si Li
{"title":"An Efficient Adaptive Total Variation Regularization for Image Denoising","authors":"Xueying Zeng, Si Li","doi":"10.1109/ICIG.2013.17","DOIUrl":"https://doi.org/10.1109/ICIG.2013.17","url":null,"abstract":"In this paper, we propose an efficient adaptive total variation regularization scheme for ROF image denoising problem. By smoothing the non-differentiable convex function appearing in the traditional total variation by its Moreau envelope and selecting the smoothing factor to be inversely proportional to the likelihood of the presence of an edge at discrete image location, the proposed adaptive total variation can remove the stair casing effects caused by total variation as well as preserve sharp edges well in the restored image. Moreover, the proposed adaptive total variation facilitates us to employ some accelerated techniques to solve the generated ROF model. Our numerical experiments demonstrate the efficiency of the proposed method.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"55 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":"133859966","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
Edge Grouping with a Novel Shape Model for Object Detection 一种新的形状模型边缘分组用于目标检测
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.43
Lei Ma, Bitao Jiang
{"title":"Edge Grouping with a Novel Shape Model for Object Detection","authors":"Lei Ma, Bitao Jiang","doi":"10.1109/ICIG.2013.43","DOIUrl":"https://doi.org/10.1109/ICIG.2013.43","url":null,"abstract":"This paper presents a new method for object detection by edge grouping. This method can detect the boundaries of objects under complex background where the object contours are partly occluded or missing during contour extraction. Our method is adapted to detect the objects with not only closed boundaries but also open-boundaries. There are three contributions in this work. First, the shape of an object is represented by a novel Turn Angle Probabilistic Sequence Model (TAPSM) which originates from HMM. This shape model is robust for noisy images. Second, edge grouping is defined in a sequential search procedure based on TAPSM, which reduces the search complexity. Third, a linear discrimination weighted by probabilities is developed to evaluate the similarity between the detected line sequences and the model. We employ this approach to the problem of detecting warships from satellite imagery, and experimental results demonstrate the high performance of the proposed method.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"44 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":"114696713","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
A Virtual High-Speed Railway Scene Modeling Method Based on Basic-Element Model Combination 基于基元模型组合的高速铁路虚拟场景建模方法
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.144
Wang Jinhong, Zhu Jun, Li Zhujun, Yin Lingzhi, Qin Chuan
{"title":"A Virtual High-Speed Railway Scene Modeling Method Based on Basic-Element Model Combination","authors":"Wang Jinhong, Zhu Jun, Li Zhujun, Yin Lingzhi, Qin Chuan","doi":"10.1109/ICIG.2013.144","DOIUrl":"https://doi.org/10.1109/ICIG.2013.144","url":null,"abstract":"According to high-speed railway's fixed geometric appearance and spatial relationships, we proposed a modeling method for virtual high-speed railway based on basic-element combination in this paper. This method abstracts and simplifies the complicated high-speed railway models and transforms them into reusable basic-element models, and then the high-speed railway scene can be constructed by combining these basic-element models. Some key technologies such as modeling flowchart, modeling method of the basic-element model, and calculation methods of the models' spatial position and attitude were discussed in detail. Finally a case study area was selected for carrying out a test. The result shows that this modeling method can quickly construct a virtual high-speed railway scene, and improve modeling efficiency and models' reuse rate.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"9 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":"124024289","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
3D Point Cloud Optimization Based on a Random Walk Model Using SBA 基于SBA随机游走模型的三维点云优化
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.137
Chunmei Duan
{"title":"3D Point Cloud Optimization Based on a Random Walk Model Using SBA","authors":"Chunmei Duan","doi":"10.1109/ICIG.2013.137","DOIUrl":"https://doi.org/10.1109/ICIG.2013.137","url":null,"abstract":"In this paper, we propose a new algorithm for optimizing coarse 3D point cloud obtained from multiview images. We start firstly with the 3D geometry acquired from images taken from multiviews by structure from motion (SFM) approach. Then, the 3D point data is regarded as the input of the sparse bundle adjustment (SBA) technique in a RANSAC framework. A random walk model is proposed to relocate the back projections of 3D points which are also one of the inputs of the optimization algorithm, so as to improve the optimization results further. Experimental results in the end of the paper prove the effectiveness of the proposed approach.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"43 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":"123863784","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
Development of Submarine Pipeline 3D GIS Platform 海底管道三维GIS平台的开发
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.160
Peng Lei, Kun Yang
{"title":"Development of Submarine Pipeline 3D GIS Platform","authors":"Peng Lei, Kun Yang","doi":"10.1109/ICIG.2013.160","DOIUrl":"https://doi.org/10.1109/ICIG.2013.160","url":null,"abstract":"During offshore oil exploration, we must take regular investigation and inspections of submarine pipeline, and also need to effectively manage this historic and current information with respect to the oil pipeline, such as the position of pipeline, seabed topography and relief around the pipeline, seabed sediment compositions and so on, so that we can analyze submarine pipeline safety status. Thus it is necessary to establish a submarine pipeline 3D geographic information system (GIS). Firstly, we established a database of submarine pipeline change using the multibeam sounding data, rich submarine feature attribute data and the bottom material composition information etc., and we organically integrate these heterogeneous data from different data source through their geospatial location. Secondly we study the method to build the digital terrain model (DTM) of seabed and generate the 3D submarine virtual scene. Finally, based on the time stamped historic data and cellular automaton theory, we construct a Spatial-Temporal submarine pipeline change Model to analyze the dynamic change trend of submarine pipeline's position, and visually simulate it in the 3D GIS scene. This system has already been applied in a project of oil pipeline management in a sea area in China, provides very valuable decision support information for the scientific evaluation of the submarine pipeline's safety state.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"86 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":"123943518","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
Data-Driven Season Characteristic Enhancement of Natural Image 数据驱动的自然图像季节特征增强
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.186
Feng Ding, Jianwei Li, Dongqing Zou, Xiaowu Chen
{"title":"Data-Driven Season Characteristic Enhancement of Natural Image","authors":"Feng Ding, Jianwei Li, Dongqing Zou, Xiaowu Chen","doi":"10.1109/ICIG.2013.186","DOIUrl":"https://doi.org/10.1109/ICIG.2013.186","url":null,"abstract":"We present a system of creating new scenes in different seasons from an input image captured in a particular season by stylizing it according to similar images in our library which includes a vast number of different season scenes and objects. Firstly, we transfer the color appearance of the input scene in accordance with the color style of other seasons scenes by using color transfer approach. Secondly, user scribbles are used to guide the detection of repeated elements in the input image and geometric information of these detected elements are obtained. Then context-sensitive objects of specified class that match most of the required properties are retrieved from our library and edited according to the geometric information of the specified elements in the scene, such as inserting new objects into the scene or replacing objects by new ones. After that, a repeated-elements-based modification duplication scheme is proposed and implemented to semi-automatically propagate the user-specified objects modification. Finally, blending is applied to the inserted objects to achieve consistency with the target scene in illumination. The main contribution of this work is that we present a complete system to create new scenes of different seasons.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"11 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":"127964166","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
Preliminary Study on Automatic Modeling Method of 3D Relief Symbols with Building-Up Style 具有建筑风格的三维浮雕符号自动建模方法初探
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.128
N. Yang, Ran Yi, L. Wan
{"title":"Preliminary Study on Automatic Modeling Method of 3D Relief Symbols with Building-Up Style","authors":"N. Yang, Ran Yi, L. Wan","doi":"10.1109/ICIG.2013.128","DOIUrl":"https://doi.org/10.1109/ICIG.2013.128","url":null,"abstract":"The relief models made by the common modeling software are difficult to be consistent with the digital terrain model (DTM) and cannot fully express their morphological characteristics (such as the form, the structure, the spatial distributions and so on). In view of the above question, this paper advances an automatic modeling method of 3D relief symbols with building-up style. A component library of 3D relief symbols will be built, which consists of three parts: the public component library, the private component library and the metadata database. Some components of the different 3D relief symbols will be encapsulated and put into the public component library if their models can be built by the similar or the same method during the modeling process, and the others will be encapsulated and put into the private component library. Each component in the public or private component library will be described by a metadata in the metadata database. All the models of 3D relief symbols can be built by some components in the component library. The method can be used to reduce the production cost and improve the production efficiency of 3D relief symbol.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"67 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":"126284706","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
Human Detection Based on Optical Flow and Spare Geometric Flow 基于光流和备用几何流的人体检测
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.96
Hong Han, Minglei Tong
{"title":"Human Detection Based on Optical Flow and Spare Geometric Flow","authors":"Hong Han, Minglei Tong","doi":"10.1109/ICIG.2013.96","DOIUrl":"https://doi.org/10.1109/ICIG.2013.96","url":null,"abstract":"Different from most of the previous work, we detect motion human by region segmentation and classification through machine learning. In our method, based on optical flow, region segmentation is carried firstly and then, based on geometric flow, Bandelet transform is used to do feature extraction and classification. Some treatments were carried after optical flow field computation to denoising and some improvements in Bandelet transform were used to reduce time cost of feature extraction. The results of motion human detection experiments indicate that the proposed method can segment motion region more clearly and improve the performance of classifier effectively. It can be used to do real-time motion human detection in videos.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"28 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":"126108200","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
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