2007 IEEE Conference on Computer Vision and Pattern Recognition最新文献_第6页

Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods 结合核方法中的样本外和预像问题

2007 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2007-06-17 DOI: 10.1109/CVPR.2007.383038

P. Arias, G. Randall, G. Sapiro

引用次数: 75

Integration of Motion Cues in Optical and Sonar Videos for 3-D Positioning 运动线索在光学和声纳视频中的集成用于三维定位

2007 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2007-06-17 DOI: 10.1109/CVPR.2007.383354

S. Negahdaripour, H. Pirsiavash, H. Sekkati

{"title":"Integration of Motion Cues in Optical and Sonar Videos for 3-D Positioning","authors":"S. Negahdaripour, H. Pirsiavash, H. Sekkati","doi":"10.1109/CVPR.2007.383354","DOIUrl":"https://doi.org/10.1109/CVPR.2007.383354","url":null,"abstract":"Target-based positioning and 3-D target reconstruction are critical capabilities in deploying submersible platforms for a range of underwater applications, e.g., search and inspection missions. While optical cameras provide high-resolution and target details, they are constrained by limited visibility range. In highly turbid waters, target at up to distances of 10 s of meters can be recorded by high-frequency (MHz) 2-D sonar imaging systems that have become introduced to the commercial market in years. Because of lower resolution and SNR level and inferior target details compared to optical camera in favorable visibility conditions, the integration of both sensing modalities can enable operation in a wider range of conditions with generally better performance compared to deploying either system alone. In this paper, estimate of the 3-D motion of the integrated system and the 3-D reconstruction of scene features are addressed. We do not require establishing matches between optical and sonar features, referred to as opti-acoustic correspondences, but rather matches in either the sonar or optical motion sequences. In addition to improving the motion estimation accuracy, advantages of the system comprise overcoming certain inherent ambiguities of monocular vision, e.g., the scale-factor ambiguity, and dual interpretation of planar scenes. We discuss how the proposed solution provides an effective strategy to address the rather complex opti-acoustic stereo matching problem. Experiment with real data demonstrate our technical contribution.","PeriodicalId":351008,"journal":{"name":"2007 IEEE Conference on Computer Vision and Pattern Recognition","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124367543","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

Opti-Acoustic Stereo Imaging, System Calibration and 3-D Reconstruction 光声立体成像，系统校准和三维重建

2007 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2007-06-17 DOI: 10.1109/CVPR.2007.383361

S. Negahdaripour, H. Sekkati, H. Pirsiavash

引用次数: 25

Shape from Shading Based on Lax-Friedrichs Fast Sweeping and Regularization Techniques With Applications to Document Image Restoration 基于拉克斯-弗里德里希快速扫描和正则化技术的阴影形状及其在文档图像恢复中的应用

2007 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2007-06-17 DOI: 10.1109/CVPR.2007.383287

Li Zhang, A. Yip, C. Tan

{"title":"Shape from Shading Based on Lax-Friedrichs Fast Sweeping and Regularization Techniques With Applications to Document Image Restoration","authors":"Li Zhang, A. Yip, C. Tan","doi":"10.1109/CVPR.2007.383287","DOIUrl":"https://doi.org/10.1109/CVPR.2007.383287","url":null,"abstract":"In this paper, we describe a 2-pass iterative scheme to solve the general partial differential equation (PDE) related to the Shape-from-Shading (SFS) problem under both distant and close point light sources. In particular, we discuss its applications in restoring warped document images that often appear in the daily snapshots. The proposed method consists of two steps. First the image irradiance equation is formulated as a static Hamilton-Jacobi (HJ) equation and solved using a fast sweeping strategy with Lax-Friedrichs Hamiltonian. However, abrupt errors may arise when applying to real document images due to noises in the approximated shading image. To reduce the noise sensitivity, a minimization method thus follows to smooth out the abrupt ridges in the initial result and produce a better reconstruction. Experiments on synthetic surfaces show promising results comparing to the ground truth data. Moreover, a general framework is developed, which demonstrates that the SFS method can help to remove both geometric and photometric distortions in warped document images for better visual appearance and higher recognition rate.","PeriodicalId":351008,"journal":{"name":"2007 IEEE Conference on Computer Vision and Pattern Recognition","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124535731","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

Kinematics from Lines in a Single Rolling Shutter Image 单张滚动快门图像中线条的运动学

2007 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2007-06-17 DOI: 10.1109/CVPR.2007.383119

Omar Ait-Aider, A. Bartoli, N. Andreff

引用次数: 60

Layered Depth Panoramas 分层深度全景

2007 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2007-06-17 DOI: 10.1109/CVPR.2007.383295

K. Zheng, S. B. Kang, Michael F. Cohen, R. Szeliski

引用次数: 32

Improved Video Registration using Non-Distinctive Local Image Features 改进视频配准使用非显著的局部图像特征

2007 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2007-06-17 DOI: 10.1109/CVPR.2007.382989

Robin Hess, Alan Fern

{"title":"Improved Video Registration using Non-Distinctive Local Image Features","authors":"Robin Hess, Alan Fern","doi":"10.1109/CVPR.2007.382989","DOIUrl":"https://doi.org/10.1109/CVPR.2007.382989","url":null,"abstract":"The task of registering video frames with a static model is a common problem in many computer vision domains. The standard approach to registration involves finding point correspondences between the video and the model and using those correspondences to numerically determine registration transforms. Current methods locate video-to-model point correspondences by assembling a set of reference images to represent the model and then detecting and matching invariant local image features between the video frames and the set of reference images. These methods work well when all video frames can be guaranteed to contain a sufficient number of distinctive visual features. However, as we demonstrate, these methods are prone to severe misregistration errors in domains where many video frames lack distinctive image features. To overcome these errors, we introduce a concept of local distinctiveness which allows us to find model matches for nearly all video features, regardless of their distinctiveness on a global scale. We present results from the American football domain-where many video frames lack distinctive image features-which show a drastic improvement in registration accuracy over current methods. In addition, we introduce a simple, empirical stability test that allows our method to be fully automated. Finally, we present a registration dataset from the American football domain we hope can be used as a benchmarking tool for registration methods.","PeriodicalId":351008,"journal":{"name":"2007 IEEE Conference on Computer Vision and Pattern Recognition","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116364786","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: 81

Bottom-up Recognition and Parsing of the Human Body 人体自底向上的识别与解析

2007 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2007-06-17 DOI: 10.1007/978-3-540-74198-5_13

Praveen Srinivasan, Jianbo Shi

引用次数: 97

Quantifying Facial Expression Abnormality in Schizophrenia by Combining 2D and 3D Features 结合二维和三维特征量化精神分裂症患者面部表情异常

2007 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2007-06-17 DOI: 10.1109/CVPR.2007.383061

Peng Wang, Christiane Köhler, Fred Barrett, R. Gur, R. Gur, R. Verma

{"title":"Quantifying Facial Expression Abnormality in Schizophrenia by Combining 2D and 3D Features","authors":"Peng Wang, Christiane Köhler, Fred Barrett, R. Gur, R. Gur, R. Verma","doi":"10.1109/CVPR.2007.383061","DOIUrl":"https://doi.org/10.1109/CVPR.2007.383061","url":null,"abstract":"Most of current computer-based facial expression analysis methods focus on the recognition of perfectly posed expressions, and hence are incapable of handling the individuals with expression impairments. In particular, patients with schizophrenia usually have impaired expressions in the form of \"flat\" or \"inappropriate\" affects, which make the quantification of their facial expressions a challenging problem. This paper presents methods to quantify the group differences between patients with schizophrenia and healthy controls, by extracting specialized features and analyzing group differences on a feature manifold. The features include 2D and 3D geometric features, and the moment invariants combining both 3D geometry and 2D textures. Facial expression recognition experiments on actors demonstrate that our combined features can better characterize facial expressions than either 2D geometric or texture features. The features are then embedded into an ISOMAP manifold to quantify the group differences between controls and patients. Experiments show that our results are strongly supported by the human rating results and clinical findings, thus providing a framework that is able to quantify the abnormality in patients with schizophrenia.","PeriodicalId":351008,"journal":{"name":"2007 IEEE Conference on Computer Vision and Pattern Recognition","volume":"363 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123557271","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: 23

Fusion of Face and Palmprint for Personal Identification Based on Ordinal Features 基于顺序特征的人脸与掌纹融合身份识别

2007 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2007-06-17 DOI: 10.1109/CVPR.2007.383522

R. Chu, Shengcai Liao, Yufei Han, Zhenan Sun, S. Li, T. Tan

引用次数: 23