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2014 IEEE International Conference on Image Processing (ICIP)最新文献

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Marked point process model for facial wrinkle detection 面部皱纹检测的标记点过程模型
2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-27 DOI: 10.1109/ICIP.2014.7025278
Seong-Gyun Jeong, Y. Tarabalka, J. Zerubia
{"title":"Marked point process model for facial wrinkle detection","authors":"Seong-Gyun Jeong, Y. Tarabalka, J. Zerubia","doi":"10.1109/ICIP.2014.7025278","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7025278","url":null,"abstract":"We propose a new model for wrinkle detection in human faces using a marked point process. In order to detect an arbitrary shape of wrinkles, we represent them as a set of line segments, where each segment is characterized by its length and orientation. We propose a probability density of wrinkle model which exploits local edge profile and geometric properties of wrinkles. To optimize the probability density of wrinkle model, we employ reversible jump Markov chain Monte Carlo sampler with delayed rejection. Experimental results demonstrate that the new algorithm detects facial wrinkles more accurately than a recent state-of-the-art method.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"36 1","pages":"1391-1394"},"PeriodicalIF":0.0,"publicationDate":"2014-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83302716","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: 19
Global scheme for iterative mojette reconstructions 迭代mojette重建的全局方案
2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-27 DOI: 10.1109/ICIP.2014.7025350
B. Recur, H. D. Sarkissian, M. Servieres
{"title":"Global scheme for iterative mojette reconstructions","authors":"B. Recur, H. D. Sarkissian, M. Servieres","doi":"10.1109/ICIP.2014.7025350","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7025350","url":null,"abstract":"In this paper, we develop a global iterative algorithm for tomographic reconstructions from Mojette projections. Since Spline-Mojette projections are obtained by convolving Dirac-Mojette values with a specific uniform projection kernel, we decorrelate iterative reconstructions from projection model and provide a global scheme available for all Mojette models. We refer iterative algorithms to their Radon based counterparts and propose a comparative study from several Mojette acquisitions.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"115 1","pages":"1748-1752"},"PeriodicalIF":0.0,"publicationDate":"2014-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90743256","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
Geodesics-based statistical shape analysis 基于测地线的统计形状分析
2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025962
Michel Abboud, A. Benzinou, K. Nasreddine, M. Jazar
{"title":"Geodesics-based statistical shape analysis","authors":"Michel Abboud, A. Benzinou, K. Nasreddine, M. Jazar","doi":"10.1109/ICIP.2014.7025962","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7025962","url":null,"abstract":"In this paper, we describe a statistical shape analysis founded on a robust elastic metric. The proposed metric is based on geodesics in the shape space. Using this distance, we formulate a variational setting to estimate intrinsic mean shape viewed as the perfect pattern to represent a set of given shapes. By applying a geodesic-based shape warping, we generate a principal component analysis (PCA) able to capture nonlinear shape variability. Indeed, the proposed approach better reflects the main modes of variability of the data. Therefore, characterizing dominant modes of individual shape variations is conducted well through the reconstruction process. We demonstrate the efficiency of our approach with an application on a GESTURES database.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"5 1","pages":"4747-4751"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73499332","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
Joint video fusion and super resolution based on Markov random fields 基于马尔可夫随机场的联合视频融合与超分辨率
2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025431
Jin Chen, J. Núñez-Yáñez, A. Achim
{"title":"Joint video fusion and super resolution based on Markov random fields","authors":"Jin Chen, J. Núñez-Yáñez, A. Achim","doi":"10.1109/ICIP.2014.7025431","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7025431","url":null,"abstract":"In this paper, a joint video fusion and super-resolution algorithm is proposed. The method addresses the problem of generating a high-resolution (HR) image from infrared (IR) and visible (VI) low-resolution (LR) images, in a Bayesian framework. In order to preserve better the discontinuities, a Generalized Gaussian Markov Random Field (MRF) is used to formulate the prior. Experimental results demonstrate that information from both visible and infrared bands is recovered from the LR frames in an effective way.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"130 1","pages":"2150-2154"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73845687","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
MasterCam FVV: Robust registration of multiview sports video to a static high-resolution master camera for free viewpoint video MasterCam FVV:多视图运动视频的健壮注册到一个静态的高分辨率主相机免费视点视频
2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025705
Florian Angehrn, Oliver Wang, Yagiz Aksoy, M. Gross, A. Smolic
{"title":"MasterCam FVV: Robust registration of multiview sports video to a static high-resolution master camera for free viewpoint video","authors":"Florian Angehrn, Oliver Wang, Yagiz Aksoy, M. Gross, A. Smolic","doi":"10.1109/ICIP.2014.7025705","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7025705","url":null,"abstract":"Free viewpoint video enables interactive viewpoint selection in real world scenes, which is attractive for many applications such as sports visualization. Multi-camera registration is one of the difficult tasks in such systems. We introduce the concept of a static high resolution master camera for improved long-term multiview alignment. All broadcast cameras are aligned to a common reference. Our approach builds on frame-to-frame alignment, extended into a recursive long-term estimation process, which is shown to be accurate, robust and stable over long sequences.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"80 1","pages":"3474-3478"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73884376","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
Decoder complexity reduction for the scalable extension of HEVC 解码器复杂性降低为HEVC的可扩展扩展
2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025757
Christian Feldmann, Fabian Jäger, M. Wien
{"title":"Decoder complexity reduction for the scalable extension of HEVC","authors":"Christian Feldmann, Fabian Jäger, M. Wien","doi":"10.1109/ICIP.2014.7025757","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7025757","url":null,"abstract":"In the current standardization process of the scalable extension to High Efficiency Video Coding (SHVC) a high level syntax multi-loop approach is close to completion. On the one hand this multi-loop approach offers a reasonable rate-distortion performance while only minimal modifications to the encoder and decoder in both layers are required. On the other hand this approach requires full reconstruction of all pictures of all layers at the decoder side which, in the case of quality scalability with two layers, doubles the decoder complexity. In this paper high layer modifications to the prediction structure similar to the scalable extension of H.264 - AVC are implemented in SHVC and studied. These modifications allow for an enhancement layer decoder implementation to skip a significant amount of motion compensation and deblocking operations in the base layer. It is shown that the decoder complexity can hereby be reduced up to 55% for the random access configuration and up to 64% for the low delay configuration compared to SHVC. An overall coding performance increase of 1.2% when decoding the enhancement layer is reported while when only decoding the base layer a drift can be observed between -0.16 dB for random access and -0.39 dB for low delay.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"364 1","pages":"3729-3733"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75439338","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
Multiple-model Bayesian approach to volumetric imaging of cardiac current sources 心脏电流源体积成像的多模型贝叶斯方法
2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025715
A. Rahimi, Jingjia Xu, Linwei Wang
{"title":"Multiple-model Bayesian approach to volumetric imaging of cardiac current sources","authors":"A. Rahimi, Jingjia Xu, Linwei Wang","doi":"10.1109/ICIP.2014.7025715","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7025715","url":null,"abstract":"Noninvasive cardiac electrophysiological imaging aims to mathematically reconstruct the spatio-temporal dynamics of cardiac current sources from body-surface electrocardiography data. This ill-posed problem is often regularized by imposing a certain constraining model on the solution. However, it enforces the source distribution to follow a pre-assumed spatial structure that does not always match the spatio-temporal changes of current sources. We propose a Bayesian approach for 3D current source estimation that consists of a continuous combination of multiple models, each reflecting a specific spatial property for current sources. Multiple models are incorporated into our Bayesian approach as an Lp-norm prior for current sources, where p is an unknown hyperparameter with prior probabilistic distribution defined over the range between 1 and 2. The current source estimation is then obtained as an optimally weighted combination of solutions across all models, the weight being determined from posterior distribution of p inferred from electrocardiography data. The performance of our proposed approach is assessed in a set of synthetic and real-data experiments on human heart-torso models. While the use of fixed models such as L1- and L2-norm only properly recovers sources with specific spatial structures, our method delivers consistent performance in reconstructing sources with different extents and structures.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"51 1","pages":"3522-3526"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75760980","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
Simultaneous bias correction and image segmentation via L0 regularized Mumford-Shah model 基于L0正则化Mumford-Shah模型的同时偏差校正和图像分割
2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025000
Y. Duan, Huibin Chang, Weimin Huang, Jiayin Zhou
{"title":"Simultaneous bias correction and image segmentation via L0 regularized Mumford-Shah model","authors":"Y. Duan, Huibin Chang, Weimin Huang, Jiayin Zhou","doi":"10.1109/ICIP.2014.7025000","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7025000","url":null,"abstract":"This paper presents a novel discrete Mumford-Shah model for the simultaneous bias correction and image segmentation(SBCIS) for images with intensity inhomogeneity. The model is based on the assumption that an image can be approximated by a product of true intensities and a bias field. Unlike the existing methods, where the true intensities are represented as a linear combination of characteristic functions of segmentation regions, we employ L0 gradient minimization to enforce a piecewise constant solution. We introduce a new neighbor term into the Mumford-Shah model to allow the true intensity of a pixel to be influenced by its immediate neighborhood. A two-stage segmentation method is applied to the proposed Mumford-Shah model. In the first stage, both the true intensities and bias field are obtained while the segmentation is done using the K-means clustering method in the second stage. Comparisons with the two-stage Mumford-Shah model show the advantages of our method in its ability in segmenting images with intensity inhomogeneity.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"252 1","pages":"6-40"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75825772","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
Cleaning up after a face tracker: False positive removal 面部追踪器后的清理:假阳性去除
2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025050
Makarand Tapaswi, Cemal Cagn Corez, M. Bäuml, H. K. Ekenel, R. Stiefelhagen
{"title":"Cleaning up after a face tracker: False positive removal","authors":"Makarand Tapaswi, Cemal Cagn Corez, M. Bäuml, H. K. Ekenel, R. Stiefelhagen","doi":"10.1109/ICIP.2014.7025050","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7025050","url":null,"abstract":"Automatic person identification in TV series has gained popularity over the years. While most of the works rely on using face-based recognition, errors during tracking such as false positive face tracks are typically ignored. We propose a variety of methods to remove false positive face tracks and categorize the methods into confidence- and context-based. We evaluate our methods on a large TV series data set and show that up to 75% of the false positive face tracks are removed at the cost of 3.6% true positive tracks. We further show that the proposed method is general and applicable to other detectors or trackers.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"153 1","pages":"253-257"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74497586","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: 9
A contrario detection of good continuation of points 一个反向检测点的良好延续
2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025964
José Lezama, R. G. V. Gioi, G. Randall, J. Morel
{"title":"A contrario detection of good continuation of points","authors":"José Lezama, R. G. V. Gioi, G. Randall, J. Morel","doi":"10.1109/ICIP.2014.7025964","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7025964","url":null,"abstract":"We will consider the problem of detecting configurations of points regularly spaced and lying on a smooth curve. This corresponds to the notion of good continuation introduced in the Gestalt theory. We present a robust algorithm for clustering points along such curves, whilst at the same time discarding noisy samples. Based on the a contrario methodology, the detector builds upon a simple, symmetric primitive for a triplet of points, and finds statistically meaningful chains of such triplets. An efficient implementation is proposed using the Floyd-Warshall algorithm. Experiments on synthetic and real data show that the method is able to identify the perceptually relevant configuration of points in good continuation.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"31 1","pages":"4757-4761"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74520320","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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