Proceedings Ninth IEEE International Conference on Computer Vision最新文献_第8页

Weighted and robust incremental method for subspace learning 子空间学习的加权鲁棒增量方法

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238667

D. Skočaj, A. Leonardis

引用次数: 198

Geometric segmentation of perspective images based on symmetry groups 基于对称群的透视图像几何分割

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238634

A. Yang, Shankar R. Rao, Kun Huang, Wei Hong, Yi Ma

引用次数: 20

Cumulative residual entropy, a new measure of information & its application to image alignment 一种新的信息度量方法——累积残差熵及其在图像对齐中的应用

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238395

Fei Wang, B. Vemuri, M. Rao, Yunmei Chen

引用次数: 58

Polarization-based inverse rendering from a single view 基于偏振的单视图反向渲染

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238455

D. Miyazaki, R. Tan, K. Hara, K. Ikeuchi

引用次数: 197

Two-frame wide baseline matching 两帧宽基线匹配

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238403

Jiangjian Xiao, M. Shah

{"title":"Two-frame wide baseline matching","authors":"Jiangjian Xiao, M. Shah","doi":"10.1109/ICCV.2003.1238403","DOIUrl":"https://doi.org/10.1109/ICCV.2003.1238403","url":null,"abstract":"We describe a novel approach to automatically recover corresponding feature points and epipolar geometry over two wide baseline frames. Our contributions consist of several aspects: First, the use of an affine invariant feature, edge-corner, is introduced to provide a robust and consistent matching primitives. Second, based on SVD decomposition of affine matrix, the affine matching space between two corners can be approximately divided into two independent spaces by rotation angle and scaling factor. Employing this property, a two-stage affine matching algorithm is designed to obtain robust matches over two frames. Third, using the epipolar geometry estimated by these matches, more corresponding feature points are determined. Based on these robust correspondences, the fundamental matrix is refined, and a series of virtual views of the scene are synthesized. Finally, several experiments are presented to illustrate that a number of robust correspondences can be stably determined for two wide baseline images under significant camera motions with illumination changes, occlusions, and self-similarities. After testing a number of examples and comparing with the existing methods, the experimental results strongly demonstrate that our matching method outperforms the state-of-art algorithms for all of the test cases.","PeriodicalId":131580,"journal":{"name":"Proceedings Ninth IEEE International Conference on Computer Vision","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130066055","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: 95

Adaptive dynamic range imaging: optical control of pixel exposures over space and time 自适应动态范围成像:像素曝光随时间和空间的光学控制

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238624

S. Nayar, Vlad Branzoi

{"title":"Adaptive dynamic range imaging: optical control of pixel exposures over space and time","authors":"S. Nayar, Vlad Branzoi","doi":"10.1109/ICCV.2003.1238624","DOIUrl":"https://doi.org/10.1109/ICCV.2003.1238624","url":null,"abstract":"This paper presents a new approach to imaging that significantly enhances the dynamic range of a camera. The key idea is to adapt the exposure of each pixel on the image detector, based on the radiance value of the corresponding scene point. This adaptation is done in the optical domain, that is, during image formation. In practice, this is achieved using a spatial light modulator whose transmittance can be varied with high resolution over space and time. A real-time control algorithm is developed that uses acquired images to automatically adjust the transmittance function of the spatial modulator. Each captured image and its corresponding transmittance function are used to compute a very high dynamic range image that is linear in scene radiance. We have implemented a video-rate adaptive dynamic range camera that consists of a color CCD detector and a controllable liquid crystal light modulator. Experiments have been conducted in scenarios with complex and harsh lighting conditions. The results indicate that adaptive imaging can have a significant impact on vision applications such as monitoring, tracking, recognition, and navigation.","PeriodicalId":131580,"journal":{"name":"Proceedings Ninth IEEE International Conference on Computer Vision","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114502629","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: 213

A new perspective [on] shape-from-shading 一个关于形状-阴影的新视角

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238439

A. Tankus, N. Sochen, Y. Yeshurun

引用次数: 98

Unsupervised image translation 无监督图像翻译

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238384

Rómer Rosales, Kannan Achan, B. Frey

{"title":"Unsupervised image translation","authors":"Rómer Rosales, Kannan Achan, B. Frey","doi":"10.1109/ICCV.2003.1238384","DOIUrl":"https://doi.org/10.1109/ICCV.2003.1238384","url":null,"abstract":"An interesting and potentially useful vision/graphics task is to render an input image in an enhanced form or also in an unusual style; for example with increased sharpness or with some artistic qualities. In previous work [10, 5], researchers showed that by estimating the mapping from an input image to a registered (aligned) image of the same scene in a different style or resolution, the mapping could be used to render a new input image in that style or resolution. Frequently a registered pair is not available, but instead the user may have only a source image of an unrelated scene that contains the desired style. In this case, the task of inferring the output image is much more difficult since the algorithm must both infer correspondences between features in the input image and the source image, and infer the unknown mapping between the images. We describe a Bayesian technique for inferring the most likely output image. The prior on the output image P(X) is a patch-based Markov random field obtained from the source image. The likelihood of the input P(Y/spl bsol/X) is a Bayesian network that can represent different rendering styles. We describe a computationally efficient, probabilistic inference and learning algorithm for inferring the most likely output image and learning the rendering style. We also show that current techniques for image restoration or reconstruction proposed in the vision literature (e.g., image super-resolution or de-noising) and image-based nonphotorealistic rendering could be seen as special cases of our model. We demonstrate our technique using several tasks, including rendering a photograph in the artistic style of an unrelated scene, de-noising, and texture transfer.","PeriodicalId":131580,"journal":{"name":"Proceedings Ninth IEEE International Conference on Computer Vision","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133595434","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: 64

Capturing subtle facial motions in 3D face tracking 在3D面部跟踪中捕捉细微的面部动作

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238646

Zhen Wen, Thomas S. Huang

{"title":"Capturing subtle facial motions in 3D face tracking","authors":"Zhen Wen, Thomas S. Huang","doi":"10.1109/ICCV.2003.1238646","DOIUrl":"https://doi.org/10.1109/ICCV.2003.1238646","url":null,"abstract":"Facial motions produce not only facial feature points motions, but also subtle appearance changes such as wrinkles and shading changes. These subtle changes are important yet difficult issues for both analysis (tracking) and synthesis (animation). Previous approaches were mostly based on models learned from extensive training appearance examples. However, the space of all possible facial motion appearance is huge. Thus, it is not feasible to collect samples covering all possible variations due to lighting conditions, individualities, and head poses. Therefore, it is difficult to adapt such models to new conditions. In this paper, we present an adaptive technique for analyzing subtle facial appearance changes. We propose a new ratio-image based appearance feature, which is independent of a person's face albedo. This feature is used to track face appearance variations based on exemplars. To adapt the exemplar appearance model to new people and lighting conditions, we develop an online EM-based algorithm. Experiments show that the proposed method improves classification results in a facial expression recognition task, where a variety of people and lighting conditions are involved.","PeriodicalId":131580,"journal":{"name":"Proceedings Ninth IEEE International Conference on Computer Vision","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121870334","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: 111

Recognizing human action efforts: an adaptive three-mode PCA framework 人类行为努力的识别:自适应三模PCA框架

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI: 10.1109/ICCV.2003.1238662

James W. Davis, Hui Gao

引用次数: 39