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A Sobolev-type metric for polar active contours 极性活动等值线的sobolev型度量
CVPR 2011 Pub Date : 2011-06-20 DOI: 10.1109/CVPR.2011.5995310
Maximilian Baust, A. Yezzi, Gözde B. Ünal, Nassir Navab
{"title":"A Sobolev-type metric for polar active contours","authors":"Maximilian Baust, A. Yezzi, Gözde B. Ünal, Nassir Navab","doi":"10.1109/CVPR.2011.5995310","DOIUrl":"https://doi.org/10.1109/CVPR.2011.5995310","url":null,"abstract":"Polar object representations have proven to be a powerful shape model for many medical as well as other computer vision applications, such as interactive image segmentation or tracking. Inspired by recent work on Sobolev active contours we derive a Sobolev-type function space for polar curves. This so-called polar space is endowed with a metric that allows us to favor origin translations and scale changes over smooth deformations of the curve. Moreover, the resulting curve flow inherits the coarse-to-fine behavior of Sobolev active contours and is thus very robust to local minima. These properties make the resulting polar active contours a powerful segmentation tool for many medical applications, such as cross-sectional vessel segmentation, aneurysm analysis, or cell tracking.","PeriodicalId":445398,"journal":{"name":"CVPR 2011","volume":"18 15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132215338","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: 8
Recovery of corrupted low-rank matrices via half-quadratic based nonconvex minimization 利用半二次基非凸最小化法恢复损坏的低秩矩阵
CVPR 2011 Pub Date : 2011-06-20 DOI: 10.1109/CVPR.2011.5995328
R. He, Zhenan Sun, T. Tan, Weishi Zheng
{"title":"Recovery of corrupted low-rank matrices via half-quadratic based nonconvex minimization","authors":"R. He, Zhenan Sun, T. Tan, Weishi Zheng","doi":"10.1109/CVPR.2011.5995328","DOIUrl":"https://doi.org/10.1109/CVPR.2011.5995328","url":null,"abstract":"Recovering arbitrarily corrupted low-rank matrices arises in computer vision applications, including bioinformatic data analysis and visual tracking. The methods used involve minimizing a combination of nuclear norm and l1 norm. We show that by replacing the l1 norm on error items with nonconvex M-estimators, exact recovery of densely corrupted low-rank matrices is possible. The robustness of the proposed method is guaranteed by the M-estimator theory. The multiplicative form of half-quadratic optimization is used to simplify the nonconvex optimization problem so that it can be efficiently solved by iterative regularization scheme. Simulation results corroborate our claims and demonstrate the efficiency of our proposed method under tough conditions.","PeriodicalId":445398,"journal":{"name":"CVPR 2011","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130218414","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: 48
Stable multi-target tracking in real-time surveillance video 实时监控视频中稳定的多目标跟踪
CVPR 2011 Pub Date : 2011-06-20 DOI: 10.1109/CVPR.2011.5995667
Ben Benfold, I. Reid
{"title":"Stable multi-target tracking in real-time surveillance video","authors":"Ben Benfold, I. Reid","doi":"10.1109/CVPR.2011.5995667","DOIUrl":"https://doi.org/10.1109/CVPR.2011.5995667","url":null,"abstract":"The majority of existing pedestrian trackers concentrate on maintaining the identities of targets, however systems for remote biometric analysis or activity recognition in surveillance video often require stable bounding-boxes around pedestrians rather than approximate locations. We present a multi-target tracking system that is designed specifically for the provision of stable and accurate head location estimates. By performing data association over a sliding window of frames, we are able to correct many data association errors and fill in gaps where observations are missed. The approach is multi-threaded and combines asynchronous HOG detections with simultaneous KLT tracking and Markov-Chain Monte-Carlo Data Association (MCM-CDA) to provide guaranteed real-time tracking in high definition video. Where previous approaches have used ad-hoc models for data association, we use a more principled approach based on a Minimal Description Length (MDL) objective which accurately models the affinity between observations. We demonstrate by qualitative and quantitative evaluation that the system is capable of providing precise location estimates for large crowds of pedestrians in real-time. To facilitate future performance comparisons, we make a new dataset with hand annotated ground truth head locations publicly available.","PeriodicalId":445398,"journal":{"name":"CVPR 2011","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131488725","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: 681
Inference for order reduction in Markov random fields 马尔可夫随机场的降阶推理
CVPR 2011 Pub Date : 2011-06-20 DOI: 10.1109/CVPR.2011.5995452
Andrew C. Gallagher, Dhruv Batra, Devi Parikh
{"title":"Inference for order reduction in Markov random fields","authors":"Andrew C. Gallagher, Dhruv Batra, Devi Parikh","doi":"10.1109/CVPR.2011.5995452","DOIUrl":"https://doi.org/10.1109/CVPR.2011.5995452","url":null,"abstract":"This paper presents an algorithm for order reduction of factors in High-Order Markov Random Fields (HOMRFs). Standard techniques for transforming arbitrary high-order factors into pairwise ones have been known for a long time. In this work, we take a fresh look at this problem with the following motivation: It is important to keep in mind that order reduction is followed by an inference procedure on the order-reduced MRF. Since there are many possible ways of performing order reduction, a technique that generates “easier” pairwise inference problems is a better reduction. With this motivation in mind, we introduce a new algorithm called Order Reduction Inference (ORI) that searches over a space of order reduction methods to minimize the difficulty of the resultant pairwise inference problem. We set up this search problem as an energy minimization problem. We show that application of ORI for order reduction outperforms known order reduction techniques both in simulated problems and in real-world vision applications.","PeriodicalId":445398,"journal":{"name":"CVPR 2011","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130700880","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: 43
Separating reflective and fluorescent components of an image 分离图像的反射和荧光成分
CVPR 2011 Pub Date : 2011-06-20 DOI: 10.1109/CVPR.2011.5995704
Cherry Zhang, Imari Sato
{"title":"Separating reflective and fluorescent components of an image","authors":"Cherry Zhang, Imari Sato","doi":"10.1109/CVPR.2011.5995704","DOIUrl":"https://doi.org/10.1109/CVPR.2011.5995704","url":null,"abstract":"Traditionally researchers tend to exclude fluorescence from color appearance algorithms in computer vision and image processing because of its complexity. In reality, fluorescence is a very common phenomenon observed in many objects, from gems and corals, to different kinds of writing paper, and to our clothes. In this paper, we provide detailed theories of fluorescence phenomenon. In particular, we show that the color appearance of fluorescence is unaffected by illumination in which it differs from ordinary reflectance. Moreover, we show that the color appearance of objects with reflective and fluorescent components can be represented as a linear combination of the two components. A linear model allows us to separate the two components using images taken under two unknown illuminants using independent component analysis(ICA). The effectiveness of the proposed method is demonstrated using digital images of various fluorescent objects.","PeriodicalId":445398,"journal":{"name":"CVPR 2011","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131153756","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
Actom sequence models for efficient action detection 用于有效动作检测的动作序列模型
CVPR 2011 Pub Date : 2011-06-20 DOI: 10.1109/CVPR.2011.5995646
Adrien Gaidon, Zaïd Harchaoui, C. Schmid
{"title":"Actom sequence models for efficient action detection","authors":"Adrien Gaidon, Zaïd Harchaoui, C. Schmid","doi":"10.1109/CVPR.2011.5995646","DOIUrl":"https://doi.org/10.1109/CVPR.2011.5995646","url":null,"abstract":"We address the problem of detecting actions, such as drinking or opening a door, in hours of challenging video data. We propose a model based on a sequence of atomic action units, termed “actoms”, that are characteristic for the action. Our model represents the temporal structure of actions as a sequence of histograms of actom-anchored visual features. Our representation, which can be seen as a temporally structured extension of the bag-of-features, is flexible, sparse and discriminative. We refer to our model as Actom Sequence Model (ASM). Training requires the annotation of actoms for action clips. At test time, actoms are detected automatically, based on a non parametric model of the distribution of actoms, which also acts as a prior on an action's temporal structure. We present experimental results on two recent benchmarks for temporal action detection, “Coffee and Cigarettes” [12] and the dataset of [3]. We show that our ASM method outperforms the current state of the art in temporal action detection.","PeriodicalId":445398,"journal":{"name":"CVPR 2011","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133622838","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: 179
Majorization-minimization mixture model determination in image segmentation 图像分割中最大-最小混合模型的确定
CVPR 2011 Pub Date : 2011-06-20 DOI: 10.1109/CVPR.2011.5995349
Giorgos Sfikas, Christophoros Nikou, N. Galatsanos, C. Heinrich
{"title":"Majorization-minimization mixture model determination in image segmentation","authors":"Giorgos Sfikas, Christophoros Nikou, N. Galatsanos, C. Heinrich","doi":"10.1109/CVPR.2011.5995349","DOIUrl":"https://doi.org/10.1109/CVPR.2011.5995349","url":null,"abstract":"A new Bayesian model for image segmentation based on a Gaussian mixture model is proposed. The model structure allows the automatic determination of the number of segments while ensuring spatial smoothness of the final output. This is achieved by defining two separate mixture weight sets: the first set of weights is spatially variant and incorporates an MRF edge-preserving smoothing prior; the second set of weights is governed by a Dirichlet prior in order to prune unnecessary mixture components. The model is trained using variational inference and the Majorization-Minimization (MM) algorithm, resulting in closed-form parameter updates. The algorithm was successfully evaluated in terms of various segmentation indices using the Berkeley image data base.","PeriodicalId":445398,"journal":{"name":"CVPR 2011","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133229699","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: 14
Capturing Time-of-Flight data with confidence 捕捉飞行时间的数据与信心
CVPR 2011 Pub Date : 2011-06-20 DOI: 10.1109/CVPR.2011.5995550
M. Reynolds, J. Dobos, Leto Peel, T. Weyrich, G. Brostow
{"title":"Capturing Time-of-Flight data with confidence","authors":"M. Reynolds, J. Dobos, Leto Peel, T. Weyrich, G. Brostow","doi":"10.1109/CVPR.2011.5995550","DOIUrl":"https://doi.org/10.1109/CVPR.2011.5995550","url":null,"abstract":"Time-of-Flight cameras provide high-frame-rate depth measurements within a limited range of distances. These readings can be extremely noisy and display unique errors, for instance, where scenes contain depth discontinuities or materials with low infrared reflectivity. Previous works have treated the amplitude of each Time-of-Flight sample as a measure of confidence. In this paper, we demonstrate the shortcomings of this common lone heuristic, and propose an improved per-pixel confidence measure using a Random Forest regressor trained with real-world data. Using an industrial laser scanner for ground truth acquisition, we evaluate our technique on data from two different Time-of-Flight cameras1. We argue that an improved confidence measure leads to superior reconstructions in subsequent steps of traditional scan processing pipelines. At the same time, data with confidence reduces the need for point cloud smoothing and median filtering.","PeriodicalId":445398,"journal":{"name":"CVPR 2011","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128821672","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: 118
Discrete-continuous optimization for large-scale structure from motion 大型结构运动离散-连续优化
CVPR 2011 Pub Date : 2011-06-20 DOI: 10.1109/CVPR.2011.5995626
David J. Crandall, Andrew Owens, Noah Snavely, Dan Huttenlocher
{"title":"Discrete-continuous optimization for large-scale structure from motion","authors":"David J. Crandall, Andrew Owens, Noah Snavely, Dan Huttenlocher","doi":"10.1109/CVPR.2011.5995626","DOIUrl":"https://doi.org/10.1109/CVPR.2011.5995626","url":null,"abstract":"Recent work in structure from motion (SfM) has successfully built 3D models from large unstructured collections of images downloaded from the Internet. Most approaches use incremental algorithms that solve progressively larger bundle adjustment problems. These incremental techniques scale poorly as the number of images grows, and can drift or fall into bad local minima. We present an alternative formulation for SfM based on finding a coarse initial solution using a hybrid discrete-continuous optimization, and then improving that solution using bundle adjustment. The initial optimization step uses a discrete Markov random field (MRF) formulation, coupled with a continuous Levenberg-Marquardt refinement. The formulation naturally incorporates various sources of information about both the cameras and the points, including noisy geotags and vanishing point estimates. We test our method on several large-scale photo collections, including one with measured camera positions, and show that it can produce models that are similar to or better than those produced with incremental bundle adjustment, but more robustly and in a fraction of the time.","PeriodicalId":445398,"journal":{"name":"CVPR 2011","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127762986","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: 57
Efficient groupwise non-rigid registration of textured surfaces 纹理表面的有效分组非刚性配准
CVPR 2011 Pub Date : 2011-06-20 DOI: 10.1109/CVPR.2011.5995632
K. Sidorov, S. Richmond, D. Marshall
{"title":"Efficient groupwise non-rigid registration of textured surfaces","authors":"K. Sidorov, S. Richmond, D. Marshall","doi":"10.1109/CVPR.2011.5995632","DOIUrl":"https://doi.org/10.1109/CVPR.2011.5995632","url":null,"abstract":"Advances in 3D imaging have recently made 3D surface scanners, capable of capturing textured surfaces at video rate, affordable and common in computer vision. This is a relatively new source of data, the potential of which has not yet been fully exploited as the problem of non-rigid registration of surfaces is difficult. While registration based on shape alone has been an active research area for some time, the problem of registering surfaces based on texture information has not been addressed in a principled way. We propose a novel, efficient and reliable, fully automatic method for performing groupwise non-rigid registration of textured surfaces, such as those obtained with 3D scanners. We demonstrate the robustness of our approach on 3D scans of human faces, including the notoriously difficult case of inter-subject registration. We show how our method can be used to build high-quality 3D models of appearance fully automatically.","PeriodicalId":445398,"journal":{"name":"CVPR 2011","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131875780","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: 24
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