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2010 IEEE International Conference on Image Processing最新文献

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Towards integrating level-3 Features with perspiration pattern for robust fingerprint recognition 将三级特征与汗液模式相结合，实现强大的指纹识别
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5654261
A. Abhyankar, S. Schuckers
{"title":"Towards integrating level-3 Features with perspiration pattern for robust fingerprint recognition","authors":"A. Abhyankar, S. Schuckers","doi":"10.1109/ICIP.2010.5654261","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5654261","url":null,"abstract":"Level-3 fingerprint features from fingerprint images like pores are difficult to capture detect, and involve high resolution scanners with higher ppi count. However, these features provide finer information about a fingerprint characteristics. Furthermore, fingerprint pores may be useful in determining liveness of fingerprint in order to prevent spoofing of fingerprint devices. In this study fingerprint pores along the ridges are used for fingerprint matching. Wavelet based fingerprint enhancement techniques are implemented to ease detection of the level-3 features. Delaunay triangulation based alignment and matching of the fingerprints is performed. The pores are checked for the liveness by perspiration activity in the time series captures. The developed matching scheme is tested for the high resolution data (686 ppi) for 114 live and spoof fingerprint classes. ROC is plotted and EER of 2.97% is obtained.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"31 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":"127245359","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: 20
Image denoising using multi-stage sparse representations 使用多阶段稀疏表示的图像去噪
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5651922
T. Gan, Wenmiao Lu
{"title":"Image denoising using multi-stage sparse representations","authors":"T. Gan, Wenmiao Lu","doi":"10.1109/ICIP.2010.5651922","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5651922","url":null,"abstract":"This paper presents a novel image denoising method based on multiscale sparse representations. The denoising is performed in a multi-stage framework where sparse representations are obtained in different scales to capture multiscale image features. Based on the multi-stage structure, we introduce a new stopping criterion for sparse coding to capture image structures more accurately than previous methods. Furthermore we propose a thresholding technique to effectively avoid artifacts which are usually introduced due to the erroneous pursuit for noise-induced structures. Experimental results demonstrate that the proposed method achieves PSNR performance comparable to other state-of-the-art methods while producing denoised images with superior visual quality.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"23 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":"115514700","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
3D video performance segmentation 3D视频性能分割
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5652541
Tony Tung, T. Matsuyama
{"title":"3D video performance segmentation","authors":"Tony Tung, T. Matsuyama","doi":"10.1109/ICIP.2010.5652541","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5652541","url":null,"abstract":"We present a novel approach that achieves segmentation of subject body parts in 3D videos. 3D video consists in a free-viewpoint video of real-world subjects in motion immersed in a virtual world. Each 3D video frame is composed of one or several 3D models. A topology dictionary is used to cluster 3D video sequences with respect to the model topology and shape. The topology is characterized using Reeb graph-based descriptors and no prior explicit model on the subject shape is necessary to perform the clustering process. In this framework, the dictionary consists in a set of training input poses with a priori segmentation and labels. As a consequence, all identified frames of 3D video sequences can be automatically segmented. Finally, motion flows computed between consecutive frames are used to transfer segmented region labels to unidentified frames. Our method allows us to perform robust body part segmentation and tracking in 3D cinema sequences.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"80 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":"115745479","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
Reduced-reference SSIM estimation 减少参考SSIM估计
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5653508
A. Rehman, Zhou Wang
{"title":"Reduced-reference SSIM estimation","authors":"A. Rehman, Zhou Wang","doi":"10.1109/ICIP.2010.5653508","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5653508","url":null,"abstract":"The structural similarity (SSIM) index has been shown to be a good perceptual image quality predictor. In many real-world applications such as network visual communications, however, SSIM is not applicable because its computation requires full access to the original image. Here we propose a reduced-reference approach that estimates SSIM with only partial information about the original image. Specifically, we extract statistical features from a multi-scale, multi-orientation divisive normalization transform and develop a distortion measure by following the philosophy analogous to that in the construction of SSIM. We found an interesting linear relationship between our reduced-reference SSIM estimate and full-reference SSIM when the image distortion type is fixed. A regression-by-discretization method is then applied to normalize our measure between image distortion types. We use the LIVE database to test the proposed distortion measure, which shows strong correlations with both SSIM and subjective evaluations. We also demonstrate how our reduced-reference features may be employed to partially repair a distorted image.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"353 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":"115895127","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: 39
Automatic target recognition of multiple targets from two classes with varying velocities using correlation filters 利用相关滤波器对两类不同速度的多目标进行自动识别
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5651040
Andres Rodriguez, B. Kumar
{"title":"Automatic target recognition of multiple targets from two classes with varying velocities using correlation filters","authors":"Andres Rodriguez, B. Kumar","doi":"10.1109/ICIP.2010.5651040","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5651040","url":null,"abstract":"Correlation filters (CFs) can detect multiple targets in one scene making them well-suited for automatic target recognition (ATR) applications. We present a method to efficiently compute the Quadratic CF (QCF) capable of detecting multiple targets from two classes. We use a Kalman filter framework to combine information from successive correlation outputs in a probabilistic way integrating the ATR tasks of detection, recognition, and tracking.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"91 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":"124156655","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
Using Adaboost on contourlet based image deblurring for Fluid Lens Camera Systems
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5651893
Jack Tzeng, Y. Freund, Truong Nguyen
{"title":"Using Adaboost on contourlet based image deblurring for Fluid Lens Camera Systems","authors":"Jack Tzeng, Y. Freund, Truong Nguyen","doi":"10.1109/ICIP.2010.5651893","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5651893","url":null,"abstract":"The Fluidic Lens Camera System provides an exciting opportunity for the Image Processing Community. Designed for a surgical environment, this camera has higher magnification and has better portability than traditional laparoscopic cameras. From an image processing prospective, the fluid causes non-uniform blur of different color planes. While the green image is sharp, the red and blue images are blurred. Previous methods have been developed to separate out the edge and shading components of the green image and to use the edge information in green to replace the blurred blue edges. This algorithm succeed in most areas, however in some areas, color bleeding artifacts occurred. We restate this problem as a classification problem. Using the contourlet and wavelet coefficients as features, the proposed algorithm determines in what areas color bleeding will occur and does not apply the sharpening algorithm in these areas. By applying the previous contourlet method in areas where it succeeds, we can produce an overall sharper image with reduced color bleeding artifacts. The ability to correctly classify when the previous algorithm will succeed is crucial to the success of the algorithm. The principal application is medical imaging, however, the fields of satellite pan-sharpening and image denoising can benefit from the results found in this paper.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"17 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":"124303758","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
Multiple object tracking using an automatic variable-dimension particle filter 使用自动变维粒子滤波的多目标跟踪
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5651632
J. Arróspide, L. Salgado, M. Nieto
{"title":"Multiple object tracking using an automatic variable-dimension particle filter","authors":"J. Arróspide, L. Salgado, M. Nieto","doi":"10.1109/ICIP.2010.5651632","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5651632","url":null,"abstract":"Object tracking through particle filtering has been widely addressed in recent years. However, most works assume a constant number of objects or utilize an external detector that monitors the entry or exit of objects in the scene. In this work, a novel tracking method based on particle filtering that is able to automatically track a variable number of objects is presented. As opposed to classical prior data assignment approaches, adaptation of tracks to the measurements is managed globally. Additionally, the designed particle filter is able to generate hypotheses on the presence of new objects in the scene, and to confirm or dismiss them by gradually adapting to the global observation. The method is especially suited for environments where traditional object detectors render noisy measurements and frequent artifacts, such as that given by a camera mounted on a vehicle, where it is proven to yield excellent results.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"100 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":"124568072","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
Fast dynamic quantization algorithm for vector map compression 矢量图压缩的快速动态量化算法
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5651821
Minjie Chen, Mantao Xu, P. Fränti
{"title":"Fast dynamic quantization algorithm for vector map compression","authors":"Minjie Chen, Mantao Xu, P. Fränti","doi":"10.1109/ICIP.2010.5651821","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5651821","url":null,"abstract":"Vector map compression can be solved by incorporating both data reduction (polygonal approximation) and quantization of the prediction errors, which is the so-called dynamic quantization. This straightforward solution is to calculate all the rate-distortion curves with respect to each of the quantization levels such that the best quantizer is the lower envelope of the set of curves. But computing an entire set of rate-distortion curves is computationally expensive. To solve this problem, we propose a fast algorithm first estimates an optimal Lagrangian parameter λ for each given quantization level l and thus only one rate-distortion curve is achievable for constructing the optimal quantizer of prediction errors. An experimental result demonstrates that proposed algorithm reduces the computational complexity significantly without compromising its rate-distortion performance.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"17 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":"114340486","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
Variational fronts tracking in sea surface temperature images 海面温度图像的变分锋跟踪
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5651063
Silèye O. Ba, Ronan Fablet
{"title":"Variational fronts tracking in sea surface temperature images","authors":"Silèye O. Ba, Ronan Fablet","doi":"10.1109/ICIP.2010.5651063","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5651063","url":null,"abstract":"Nowadays, high resolution sea surface temperature (SST) observations recorded from orbital satellites are available. Because SST fronts appearing at the ocean surface convey information about the dynamics of deeper ocean layers, their study is of high interest in oceanography. In this paper we present a variational method for fronts tracking in SST images. The proposed method integrates into the variational data assimilation framework a variational method for fronts detection using the level set formulation. This allows our method to extract temporally consistent fronts in SST images sequences. The proposed method is validated on two sequences of SST images of two regions, the region of Malvinas and the region of Aghulas-Benguela, which host very active oceanic fronts.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"54 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":"114484936","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
Optimized channel rate allocation for H.264/AVC scalable video multicast streaming over heterogeneous networks 优化了异构网络上H.264/AVC可扩展视频多播流的信道速率分配
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5652839
Bin Zhang, Xiang Li, M. Wien, J. Ohm
{"title":"Optimized channel rate allocation for H.264/AVC scalable video multicast streaming over heterogeneous networks","authors":"Bin Zhang, Xiang Li, M. Wien, J. Ohm","doi":"10.1109/ICIP.2010.5652839","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5652839","url":null,"abstract":"We present an algorithm to optimize the allocation of channel bitrate to different network abstraction layer (NAL) units of the H.264/AVC scalable video bitstreams for real-time multicast streaming over heterogeneous networks. We focus on the problem of achieving a high robustness of video streaming under varying channel conditions in terms of the reconstructed video qualities at different users. As an extension of our previous work for unicast streaming, the proposed algorithm can achieve an optimized allocation of channel bitrate for multicast streaming with any user distribution. Our simulations show that a good performance on the video qualities among the multicast users can be achieved for different user distributions. A gain in terms of the overall multicast PSNR can be achieved against the protection strategies targeting at users with medium channel qualities in our experiments.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"8 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":"114375508","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
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