首页 > 最新文献

IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS最新文献

英文 中文
Research on the fuzzy predictive control for calcining temperature of the rotary cement kiln 水泥回转窑煅烧温度的模糊预测控制研究
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5655752
Guo Feng, L. Bin, H. Xiaochen, Gao Peng
According to the analysis of the characteristics of time-varying and nonlinear, long delays in industry processes, a fuzzy predictive controller based on the T-S fuzzy model predictive control algorithm is designed for calcining temperature of the rotary cement kiln in this paper. First, a T-S fuzzy model for temperature control system is constructed. The input variables are divided according to the fuzzy C-means clustering algorithm, and the rear parameters of the fuzzy regulation are identified by the least square method. Later the system is locally dynamic linearized at each sampling point. Predictive control is done according to the constructed linear system model in the Generalized Predictive Control (GPC) algorithm. Simulation result shows the good adaptability and high accuracy of the designed controller.
本文根据工业过程时变、非线性、长时滞的特点,设计了一种基于T-S模糊模型预测控制算法的水泥回转窑煅烧温度模糊预测控制器。首先,建立了温度控制系统的T-S模糊模型。采用模糊c均值聚类算法对输入变量进行划分,采用最小二乘法对模糊调节后参数进行辨识。然后在每个采样点对系统进行局部动态线性化。在广义预测控制(GPC)算法中,预测控制是根据所构造的线性系统模型来实现的。仿真结果表明,所设计的控制器具有良好的自适应性和较高的精度。
{"title":"Research on the fuzzy predictive control for calcining temperature of the rotary cement kiln","authors":"Guo Feng, L. Bin, H. Xiaochen, Gao Peng","doi":"10.1109/ICOSP.2010.5655752","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655752","url":null,"abstract":"According to the analysis of the characteristics of time-varying and nonlinear, long delays in industry processes, a fuzzy predictive controller based on the T-S fuzzy model predictive control algorithm is designed for calcining temperature of the rotary cement kiln in this paper. First, a T-S fuzzy model for temperature control system is constructed. The input variables are divided according to the fuzzy C-means clustering algorithm, and the rear parameters of the fuzzy regulation are identified by the least square method. Later the system is locally dynamic linearized at each sampling point. Predictive control is done according to the constructed linear system model in the Generalized Predictive Control (GPC) algorithm. Simulation result shows the good adaptability and high accuracy of the designed controller.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123019548","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
A novel adaptive learning method for low-sidelobe step frequency waveform designing 一种新的低旁瓣阶跃频率波形设计自适应学习方法
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5655948
Wei Yinsheng, Yang Si-liang
For a step frequency waveform, high range resolution can be achieved by inter-pulse sysnthesis processing and its sidelobe level can be controled by weighting in frequency domain. Howerver, high range sidelobe arise when the frequeuy steps is sparsely spaced. For this, low sidelobe can be obtained in two ways. One is by signal processing after receiving. And the other is to design the waveform with low sidelobe. In order to avoid the SNR loss, The latter is more effective. In this paper, a novel adatpive learning method is given. The method can adaptively adjust the frequencys by max sidelobe discrepancy between the matched filtering out of present and the ideal one. The result of simulation shows that it can approach the optimal frequencys for which the max sidelobe is lowest.
对于阶跃频率波形,可以通过脉冲间合成处理实现高距离分辨率,并通过频域加权控制其旁瓣电平。然而,当频率阶跃间隔稀疏时,会产生高范围旁瓣。为此,可以通过两种方法获得低副瓣。一种是由信号接收后处理。二是设计具有低旁瓣的波形。为了避免信噪比损失,后者更为有效。本文提出了一种新的自适应学习方法。该方法利用匹配滤波结果与理想滤波结果的最大旁瓣差值自适应调整频率。仿真结果表明,该方法可以逼近最大旁瓣最小的最优频率。
{"title":"A novel adaptive learning method for low-sidelobe step frequency waveform designing","authors":"Wei Yinsheng, Yang Si-liang","doi":"10.1109/ICOSP.2010.5655948","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655948","url":null,"abstract":"For a step frequency waveform, high range resolution can be achieved by inter-pulse sysnthesis processing and its sidelobe level can be controled by weighting in frequency domain. Howerver, high range sidelobe arise when the frequeuy steps is sparsely spaced. For this, low sidelobe can be obtained in two ways. One is by signal processing after receiving. And the other is to design the waveform with low sidelobe. In order to avoid the SNR loss, The latter is more effective. In this paper, a novel adatpive learning method is given. The method can adaptively adjust the frequencys by max sidelobe discrepancy between the matched filtering out of present and the ideal one. The result of simulation shows that it can approach the optimal frequencys for which the max sidelobe is lowest.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122176416","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
Compressive sensing MIMO radar imaging based on inverse scattering model 基于逆散射模型的压缩感知MIMO雷达成像
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5655897
X. Hao, He Xue-zhi, Yin Zhiping, Wang Dongjin, C. Weidong
From the view of inverse scattering imaging, the paper gives basic principle of MIMO radar imaging, then applies compressive sensing (CS) to two methods. The first method is sampling and receiving echoes randomly in both frequencies and channels. The second method is sampling echoes randomly only in frequencies, and controllable space intersection is done in channels to increase the practicability. Both methods can achieve high image resolution using few echo samples. The first method has better imaging quality, but the second method is more controllable. Ulteriorly, the simulation gives detailed analysis of imaging quality and reconstruction successful probability, which is beneficial to applications of CS to MIMO radar imaging.
从逆散射成像的角度出发,给出了MIMO雷达成像的基本原理,并将压缩感知(CS)应用于两种方法。第一种方法是在频率和信道上随机采样和接收回波。第二种方法是只在频率范围内随机采样回波,并在信道内进行可控空间交会以提高实用性。这两种方法都可以利用较少的回波样本获得较高的图像分辨率。第一种方法成像质量较好,但第二种方法的可控性较强。仿真还详细分析了图像质量和重建成功概率,为CS在MIMO雷达成像中的应用提供了理论依据。
{"title":"Compressive sensing MIMO radar imaging based on inverse scattering model","authors":"X. Hao, He Xue-zhi, Yin Zhiping, Wang Dongjin, C. Weidong","doi":"10.1109/ICOSP.2010.5655897","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655897","url":null,"abstract":"From the view of inverse scattering imaging, the paper gives basic principle of MIMO radar imaging, then applies compressive sensing (CS) to two methods. The first method is sampling and receiving echoes randomly in both frequencies and channels. The second method is sampling echoes randomly only in frequencies, and controllable space intersection is done in channels to increase the practicability. Both methods can achieve high image resolution using few echo samples. The first method has better imaging quality, but the second method is more controllable. Ulteriorly, the simulation gives detailed analysis of imaging quality and reconstruction successful probability, which is beneficial to applications of CS to MIMO radar imaging.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129601320","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
Using X-ray imaging model to improve guidewire detection 利用x射线成像模型改进导丝检测
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5655928
T. Petković, S. Lončarić
Guidewire segmentation is the first step in producing automated tracking system to aid the surgeon during interventions. Most of the currently proposed methods for guidewire detection do not take into account X-ray imaging model and thus perform sub-optimally. We describe a simple imaging model and show how line detection technique based on the eigneanalysis of the Hessian matrix can be adapted to the model. Such adaptation improves detection results and allows application for a wider range of input images. Furthermore, we show how to choose an optimal set of parameters for the detection thus making the method fully automated.
导丝分割是生产自动跟踪系统的第一步,以帮助外科医生在干预期间。目前提出的大多数导丝检测方法没有考虑到x射线成像模型,因此效果不佳。我们描述了一个简单的成像模型,并展示了基于Hessian矩阵的线性分析的线检测技术如何适用于该模型。这种适应改进了检测结果,并允许应用于更大范围的输入图像。此外,我们展示了如何为检测选择一组最佳参数,从而使该方法完全自动化。
{"title":"Using X-ray imaging model to improve guidewire detection","authors":"T. Petković, S. Lončarić","doi":"10.1109/ICOSP.2010.5655928","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655928","url":null,"abstract":"Guidewire segmentation is the first step in producing automated tracking system to aid the surgeon during interventions. Most of the currently proposed methods for guidewire detection do not take into account X-ray imaging model and thus perform sub-optimally. We describe a simple imaging model and show how line detection technique based on the eigneanalysis of the Hessian matrix can be adapted to the model. Such adaptation improves detection results and allows application for a wider range of input images. Furthermore, we show how to choose an optimal set of parameters for the detection thus making the method fully automated.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"43 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128532106","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
Construction of protograph LDPC codes based on Jacket matrices 基于夹克矩阵的原型LDPC码构造
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5656484
Kaiyao Wang, Shaohai Hu, Yang Xiao, M. Lee, Kiseon Kim
In this paper, we propose a method to construct the protograph LDPC codes based on Jacket matrices. In the proposed code construction, the Jacket matrices are regarded as derived protograph matrices, the column weights of permutation matrices in parity check matrix depend on the elements' values of Jacket matrices. While the shift rule of the permutation matrices needs to ensure no girth 4. The proposed LDPC codes are easy to be applied for the codec of mobile digital multimedia. The simulation results in AWGN channels show that the BER performance of the proposed codes is better by about 0.5 dB than that of GB20600 LDPC codes.
本文提出了一种基于Jacket矩阵构造原型LDPC码的方法。在本文提出的编码结构中,将夹克衫矩阵视为衍生原生矩阵,奇偶校验矩阵中置换矩阵的列权取决于夹克衫矩阵的元素值。而置换矩阵的移位规则需要保证周长不为4。所提出的LDPC码易于应用于移动数字多媒体的编解码器。在AWGN信道下的仿真结果表明,所提码的误码率性能比GB20600 LDPC码提高约0.5 dB。
{"title":"Construction of protograph LDPC codes based on Jacket matrices","authors":"Kaiyao Wang, Shaohai Hu, Yang Xiao, M. Lee, Kiseon Kim","doi":"10.1109/ICOSP.2010.5656484","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5656484","url":null,"abstract":"In this paper, we propose a method to construct the protograph LDPC codes based on Jacket matrices. In the proposed code construction, the Jacket matrices are regarded as derived protograph matrices, the column weights of permutation matrices in parity check matrix depend on the elements' values of Jacket matrices. While the shift rule of the permutation matrices needs to ensure no girth 4. The proposed LDPC codes are easy to be applied for the codec of mobile digital multimedia. The simulation results in AWGN channels show that the BER performance of the proposed codes is better by about 0.5 dB than that of GB20600 LDPC codes.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128695294","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 robust coarse-to-fine sub-pixel registration method under noisy conditions 噪声条件下稳健的粗到精亚像素配准方法
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5655880
Boyang Zhang, Changbing Chen, Hua Yan, Wei Liu
Image registration is an important task in the field of computer vision and pattern recognition. In this paper, we propose a robust sub-pixel registration algorithm which is based on multi-resolution and new edge detection interpolation method. After applying truncated window function to the images to be registration, the low-pass bands of the wavelet decomposition are applied to build the image pyramid. Performance of our proposed algorithm is compared with other method using the same block matching algorithm and mutual information similarity measure. The results show that our proposed algorithm is effective for noisy degradation condition and can lead to highly accurate image registration.
图像配准是计算机视觉和模式识别领域的一项重要任务。本文提出了一种基于多分辨率和新的边缘检测插值方法的鲁棒亚像素配准算法。对待配准图像应用截断窗函数后,利用小波分解的低通带构建图像金字塔。并与采用相同块匹配算法和互信息相似度度量的其他方法进行了性能比较。结果表明,该算法在噪声退化条件下是有效的,可以实现高精度的图像配准。
{"title":"A robust coarse-to-fine sub-pixel registration method under noisy conditions","authors":"Boyang Zhang, Changbing Chen, Hua Yan, Wei Liu","doi":"10.1109/ICOSP.2010.5655880","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655880","url":null,"abstract":"Image registration is an important task in the field of computer vision and pattern recognition. In this paper, we propose a robust sub-pixel registration algorithm which is based on multi-resolution and new edge detection interpolation method. After applying truncated window function to the images to be registration, the low-pass bands of the wavelet decomposition are applied to build the image pyramid. Performance of our proposed algorithm is compared with other method using the same block matching algorithm and mutual information similarity measure. The results show that our proposed algorithm is effective for noisy degradation condition and can lead to highly accurate image registration.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128337603","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
Orthogonal waveform set design for netted radar 网状雷达正交波形集设计
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5655311
L. Cai, Xiaochuan Ma, Shefeng Yan, Qi Xu
Orthogonal netted radar system requires the transmitted waveforms with a very low autocorrelation and cross-correlation sidelobe peak level. Pseudo-random Phase Coded Modulation (PCM) waveform is suitable for orthogonal design in this sense. In this paper, the correlation properties of Gold sequences as binary phase codes are discussed. Numerical examples are presented to demonstrate the desired orthogonal properties of the coded pulse signal. The effect of Doppler shift and computation cost are also discussed.
正交组网雷达系统要求发射波形具有很低的自相关和互相关的旁瓣峰值电平。在这种意义上,伪随机相位编码调制(PCM)波形适用于正交设计。本文讨论了金序列作为二相码的相关性质。通过数值算例说明了编码脉冲信号的正交特性。讨论了多普勒频移和计算成本的影响。
{"title":"Orthogonal waveform set design for netted radar","authors":"L. Cai, Xiaochuan Ma, Shefeng Yan, Qi Xu","doi":"10.1109/ICOSP.2010.5655311","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655311","url":null,"abstract":"Orthogonal netted radar system requires the transmitted waveforms with a very low autocorrelation and cross-correlation sidelobe peak level. Pseudo-random Phase Coded Modulation (PCM) waveform is suitable for orthogonal design in this sense. In this paper, the correlation properties of Gold sequences as binary phase codes are discussed. Numerical examples are presented to demonstrate the desired orthogonal properties of the coded pulse signal. The effect of Doppler shift and computation cost are also discussed.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129011028","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 calibration system and perturbation analysis for the Modulated Wideband Converter 调制宽带变换器的标定系统及摄动分析
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5656659
Laming Chen, Jian Jin, Yuantao Gu
A calibration system is proposed in this paper for the Modulated Wideband Converter (MWC), which is an efficient sampling system for the sparse multiband signals. The proposed calibration system has the ability to acquire actual measurement matrix and is achievable both in its structure and in its computational complexity. The perturbation performance of the MWC is also analyzed, and it is proved that under some rational assumptions, the relative error of the multiband signal recovered by the MWC is limited by the noise level in the observation and the extended singular value of the perturbation to the measurement matrix.
本文提出了一种调制宽带转换器(MWC)的校准系统,它是一种有效的稀疏多频带信号采样系统。该标定系统具有获取实际测量矩阵的能力,在结构和计算复杂度上都是可以实现的。分析了MWC的摄动性能,证明了在一些合理的假设下,MWC恢复的多波段信号的相对误差受观测噪声水平和摄动对测量矩阵的扩展奇异值的限制。
{"title":"A calibration system and perturbation analysis for the Modulated Wideband Converter","authors":"Laming Chen, Jian Jin, Yuantao Gu","doi":"10.1109/ICOSP.2010.5656659","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5656659","url":null,"abstract":"A calibration system is proposed in this paper for the Modulated Wideband Converter (MWC), which is an efficient sampling system for the sparse multiband signals. The proposed calibration system has the ability to acquire actual measurement matrix and is achievable both in its structure and in its computational complexity. The perturbation performance of the MWC is also analyzed, and it is proved that under some rational assumptions, the relative error of the multiband signal recovered by the MWC is limited by the noise level in the observation and the extended singular value of the perturbation to the measurement matrix.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129020367","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: 13
Radar track-before-detect algorithm of dim target based on track test 基于航迹试验的弱小目标雷达检测前航迹算法
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5655883
Shu Lin Liu, Hai Liu
This pap er prop oses a track test-based track-before-detect algorithm for radar target detection. Track test is used to estimate the target motion model. The implementation of this scheme on the search tracks and the detection strategy on the energy accumulation values of tested tracks are presented. Simulation results show the proposed algorithm have better detection performance and tracking performance, compared with the dynamic programming-based track-before-detect algorithm.
本文提出了一种基于航迹测试的雷达目标检测前航迹算法。跟踪试验用于估计目标运动模型。给出了该方案在搜索轨迹上的实现以及对被测轨迹能量积累值的检测策略。仿真结果表明,与基于动态规划的检测前跟踪算法相比,该算法具有更好的检测性能和跟踪性能。
{"title":"Radar track-before-detect algorithm of dim target based on track test","authors":"Shu Lin Liu, Hai Liu","doi":"10.1109/ICOSP.2010.5655883","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655883","url":null,"abstract":"This pap er prop oses a track test-based track-before-detect algorithm for radar target detection. Track test is used to estimate the target motion model. The implementation of this scheme on the search tracks and the detection strategy on the energy accumulation values of tested tracks are presented. Simulation results show the proposed algorithm have better detection performance and tracking performance, compared with the dynamic programming-based track-before-detect algorithm.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129022636","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 2D-to-3D video conversion technique based on depth-from-motion and color segmentation 基于运动深度和颜色分割的2d - 3d视频自动转换技术
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5655850
L. Po, Xuyuan Xu, Yuesheng Zhu, Shihang Zhang, K. Cheung, C. Ting
Most of the TV manufacturers have released 3DTVs in the summer of 2010 using shutter-glasses technology. 3D video applications are becoming popular in our daily life, especially at home entertainment. Although more and more 3D movies are being made, 3D video contents are still not rich enough to satisfy the future 3D video market. There is a rising demand on new techniques for automatically converting 2D video content to stereoscopic 3D video displays. In this paper, an automatic monoscopic video to stereoscopic 3D video conversion scheme is presented using block-based depth from motion estimation and color segmentation for depth map enhancement. The color based region segmentation provides good region boundary information, which is used to fuse with block-based depth map for eliminating the staircase effect and assigning good depth value in each segmented region. The experimental results show that this scheme can achieve relatively high quality 3D stereoscopic video output.
大多数电视制造商都在2010年夏天发布了采用快门玻璃技术的3d电视。3D视频应用在我们的日常生活中越来越流行,尤其是在家庭娱乐中。虽然制作的3D电影越来越多,但3D视频的内容还不够丰富,无法满足未来的3D视频市场。对自动将2D视频内容转换为立体3D视频显示的新技术的需求不断增加。本文提出了一种基于块的运动深度估计和深度图增强的颜色分割的单眼视频到立体3D视频的自动转换方案。基于颜色的区域分割提供了良好的区域边界信息,用于与基于分块的深度图融合,消除阶梯效应,并在每个分割的区域中分配良好的深度值。实验结果表明,该方案可以实现较高质量的三维立体视频输出。
{"title":"Automatic 2D-to-3D video conversion technique based on depth-from-motion and color segmentation","authors":"L. Po, Xuyuan Xu, Yuesheng Zhu, Shihang Zhang, K. Cheung, C. Ting","doi":"10.1109/ICOSP.2010.5655850","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655850","url":null,"abstract":"Most of the TV manufacturers have released 3DTVs in the summer of 2010 using shutter-glasses technology. 3D video applications are becoming popular in our daily life, especially at home entertainment. Although more and more 3D movies are being made, 3D video contents are still not rich enough to satisfy the future 3D video market. There is a rising demand on new techniques for automatically converting 2D video content to stereoscopic 3D video displays. In this paper, an automatic monoscopic video to stereoscopic 3D video conversion scheme is presented using block-based depth from motion estimation and color segmentation for depth map enhancement. The color based region segmentation provides good region boundary information, which is used to fuse with block-based depth map for eliminating the staircase effect and assigning good depth value in each segmented region. The experimental results show that this scheme can achieve relatively high quality 3D stereoscopic video output.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130543737","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
期刊
IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1