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A visual and interactive tool for optimizing lexical postcorrection of OCR results 一个可视化的交互式工具，用于优化OCR结果的词法后校正
2003 Conference on Computer Vision and Pattern Recognition Workshop Pub Date : 2003-06-16 DOI: 10.1109/CVPRW.2003.10031
Christian M. Strohmaier, Christoph Ringlstetter, K. Schulz, S. Mihov
{"title":"A visual and interactive tool for optimizing lexical postcorrection of OCR results","authors":"Christian M. Strohmaier, Christoph Ringlstetter, K. Schulz, S. Mihov","doi":"10.1109/CVPRW.2003.10031","DOIUrl":"https://doi.org/10.1109/CVPRW.2003.10031","url":null,"abstract":"Systems for postcorrection of OCR-results can be fine tuned and adapted to new recognition tasks in many respects. One issue is the selection and adaption of a suitable background dictionary. Another issue is the choice of a correction model, which includes, among other decisions, the selection of an appropriate distance measure for strings and the choice of a scoring function for ranking distinct correction alternatives. When combining the results obtained from distinct OCR engines, further parameters have to be fixed. Due to all these degrees of freedom, adaption and fine tuning of systems for lexical postcorrection is a difficult process. Here we describe a visual and interactive tool that semi-automates the generation of ground truth data, partially automates adjustment of parameters, yields active support for error analysis and thus helps to find correction strategies that lead to high accuracy with realistic effort.","PeriodicalId":121249,"journal":{"name":"2003 Conference on Computer Vision and Pattern Recognition Workshop","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126202276","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
Tracking Groups of Pedestrians in Video Sequences 视频序列中行人跟踪组
2003 Conference on Computer Vision and Pattern Recognition Workshop Pub Date : 2003-06-16 DOI: 10.1109/CVPRW.2003.10103
J. Marques, P. Jorge, A. Abrantes, J. M. Lemos
{"title":"Tracking Groups of Pedestrians in Video Sequences","authors":"J. Marques, P. Jorge, A. Abrantes, J. M. Lemos","doi":"10.1109/CVPRW.2003.10103","DOIUrl":"https://doi.org/10.1109/CVPRW.2003.10103","url":null,"abstract":"This paper describes an algorithm for tracking groups of objects in video sequences. The main difficulties addressed in this work concern total occlusions of the objects to be tracked as well as group merging and splitting. A two layer solution is proposed to overcome these difficulties. The first layer produces a set of spatio temporal strokes based on low level operations which manage to track the active regions most of the time. The second layer performs a consistent labeling of the detected segments using a statistical model based on Bayesian networks. The Bayesian network is recursively computed during the tracking operation and allows the update of the tracker results everytime new information is available. Experimental tests are included to show the performance of the algorithm in ambiguous situations.","PeriodicalId":121249,"journal":{"name":"2003 Conference on Computer Vision and Pattern Recognition Workshop","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126816662","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: 72
3D Localization with Conical Vision 基于圆锥视觉的三维定位
2003 Conference on Computer Vision and Pattern Recognition Workshop Pub Date : 2003-06-16 DOI: 10.1109/CVPRW.2003.10075
C. Cauchois, E. Brassart, L. Delahoche, A. Clerentin
{"title":"3D Localization with Conical Vision","authors":"C. Cauchois, E. Brassart, L. Delahoche, A. Clerentin","doi":"10.1109/CVPRW.2003.10075","DOIUrl":"https://doi.org/10.1109/CVPRW.2003.10075","url":null,"abstract":"This paper deals with an absolute mobile robot self-localization algorithm in an indoor environment. Until now, localization methods based on conical omnidirectional vision sensors uniquely used radial segments from vertical environment landmarks projection. The main motivation of this work is to demonstrate that the SYCLOP sensor can be used as a vision sensor rather than a goniometric one. We will show how the calibration allows us to know the omnidirectional image formation process to compute a synthetic image base. Then, we will present the spatial localization method using a base of synthetics images and one real omnidirectional image. Finally, some experimental results obtained with real noisy omnidirectional images are shown.","PeriodicalId":121249,"journal":{"name":"2003 Conference on Computer Vision and Pattern Recognition Workshop","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126799100","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
Mathematics of a Multiple Omni-Directional System 多全向系统的数学
2003 Conference on Computer Vision and Pattern Recognition Workshop Pub Date : 2003-06-16 DOI: 10.1109/CVPRW.2003.10087
A. Torii, Akihiro Sugimoto, A. Imiya
{"title":"Mathematics of a Multiple Omni-Directional System","authors":"A. Torii, Akihiro Sugimoto, A. Imiya","doi":"10.1109/CVPRW.2003.10087","DOIUrl":"https://doi.org/10.1109/CVPRW.2003.10087","url":null,"abstract":"We formulate multiple-view geometry for omni-directional and panorama-camera systems. The mathematical formu-lations enable us to derive the geometrical and algebraic constraints for multiple panorama-camera configurations. The constraints permit us to reconstruct three-dimensional objects for a large feasible region.","PeriodicalId":121249,"journal":{"name":"2003 Conference on Computer Vision and Pattern Recognition Workshop","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127036992","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
Creating Virtual Buddha Statues through Observation 通过观察创造虚拟佛像
2003 Conference on Computer Vision and Pattern Recognition Workshop Pub Date : 2003-06-16 DOI: 10.1109/CVPRW.2003.10001
K. Ikeuchi, A. Nakazawa, K. Nishino, Takeshi Oishi
{"title":"Creating Virtual Buddha Statues through Observation","authors":"K. Ikeuchi, A. Nakazawa, K. Nishino, Takeshi Oishi","doi":"10.1109/CVPRW.2003.10001","DOIUrl":"https://doi.org/10.1109/CVPRW.2003.10001","url":null,"abstract":"This paper overviews our research on digital preservation of cultural assets and digital restoration of their original appearance. Geometric models are digitally achieved through a pipeline consisting of scanning, registering and merging multiple range images. We have developed a robust simultaneous registration method and an efficient and robust voxel-based integration method. On the geometric models created, we have to align texture images acquired from a color camera. We have developed two texture mapping methods. In an attempt to restore the original appearance of historical heritage objects, we have synthesized several buildings and statues using scanned data and literature survey with advice from experts.","PeriodicalId":121249,"journal":{"name":"2003 Conference on Computer Vision and Pattern Recognition Workshop","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122371631","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: 16
Tracking Random Sets of Vehicles in Terrain 跟踪随机车辆集在地形
2003 Conference on Computer Vision and Pattern Recognition Workshop Pub Date : 2003-06-16 DOI: 10.1109/CVPRW.2003.10097
H. Kjellström, S. Wirkander
{"title":"Tracking Random Sets of Vehicles in Terrain","authors":"H. Kjellström, S. Wirkander","doi":"10.1109/CVPRW.2003.10097","DOIUrl":"https://doi.org/10.1109/CVPRW.2003.10097","url":null,"abstract":"This paper presents a particle filtering formulation for tracking an unknown and varying number of vehicles in terrain. The vehicles are modeled as a random set, i.e. a set of random variables, for which the cardinality is itself a random variable. The particle filter formulation is here extended according to finite set statistics (FISST) which is an extension of Bayesian theory to define operations on random sets. The filter was successfully tested on a simulated scenario with three vehicles moving in terrain, observed by humans in the terrain.","PeriodicalId":121249,"journal":{"name":"2003 Conference on Computer Vision and Pattern Recognition Workshop","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115935647","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: 116
Laser range imaging in archaeology: issues and results 考古学中的激光测距成像:问题与结果
2003 Conference on Computer Vision and Pattern Recognition Workshop Pub Date : 2003-06-16 DOI: 10.1109/CVPRW.2003.10002
G. Godin, F. Blais, L. Cournoyer, J. Beraldin, J. Domey, John Taylor, M. Rioux, S. El-Hakim
{"title":"Laser range imaging in archaeology: issues and results","authors":"G. Godin, F. Blais, L. Cournoyer, J. Beraldin, J. Domey, John Taylor, M. Rioux, S. El-Hakim","doi":"10.1109/CVPRW.2003.10002","DOIUrl":"https://doi.org/10.1109/CVPRW.2003.10002","url":null,"abstract":"Archaeology is emerging as one of the key areas of applications for laser range imaging. This particular context imposes a number of specific constraints on the design and operations of range sensors. In this paper, we discuss some of the issues in designing and using laser range sensor systems for archaeology. Results obtained on remote archaeological sites will serve to illustrate these considerations.","PeriodicalId":121249,"journal":{"name":"2003 Conference on Computer Vision and Pattern Recognition Workshop","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115396721","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
Statistical Search for Hierarchical Linear Optimal Representations of Images 图像分层线性最优表示的统计搜索
2003 Conference on Computer Vision and Pattern Recognition Workshop Pub Date : 2003-06-16 DOI: 10.1109/CVPRW.2003.10095
Qiang Zhang, Xiuwen Liu, Anuj Srivastava
{"title":"Statistical Search for Hierarchical Linear Optimal Representations of Images","authors":"Qiang Zhang, Xiuwen Liu, Anuj Srivastava","doi":"10.1109/CVPRW.2003.10095","DOIUrl":"https://doi.org/10.1109/CVPRW.2003.10095","url":null,"abstract":"Although linear representations of images are widely used in appearance-based recognition of objects, the frequently used ideas, such as PCA, ICA, and FDA, are often found to be suboptimal. A stochastic search algorithm has been proposed recently [4] for finding representations that are optimal for specific tasks and datasets. However, this search algorithm is computationally efficient only when the image size is relatively small. Here we propose a hierarchical learning algorithm to speed up the search. The proposed approach decomposes the original optimization problem into several stages according to a hierarchical organization. In particular, the following idea is applied recursively: (i) reduce the image dimension using a shrinkage matrix, (ii) optimize the recognition performance in the reduced space, and (iii)expand the optimal subspace to the bigger space in a pre-specified way. We show that the optimal performance is maintained in the last step. By applying this decomposition procedure recursively, a hierarchy of layers is formed. This speeds up the original algorithm significantly since the search is performed mainly in reduced spaces. The effectiveness of hierarchical learning is illustrated on a popular database, where the computation time is reduced by a large factor compared to the original algorithm.","PeriodicalId":121249,"journal":{"name":"2003 Conference on Computer Vision and Pattern Recognition Workshop","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114829977","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
Generic Event Detection in Sports Video using Cinematic Features 基于电影特征的体育视频通用事件检测
2003 Conference on Computer Vision and Pattern Recognition Workshop Pub Date : 2003-06-16 DOI: 10.1109/CVPRW.2003.10034
A. Ekin, A. Tekalp
{"title":"Generic Event Detection in Sports Video using Cinematic Features","authors":"A. Ekin, A. Tekalp","doi":"10.1109/CVPRW.2003.10034","DOIUrl":"https://doi.org/10.1109/CVPRW.2003.10034","url":null,"abstract":"This paper presents real-time, or near real-time, probabilistic event detection methods for broadcast sports video using cinematic features, such as shot classes and slow-motion replays. Novel algorithms have been developed for probabilistic detection of soccer goal events and basketball play-break events in a generic framework. The proposed framework includes generic algorithms for automatic dominant (field) color region detection and shot boundary detection, and domain-specific shot classification algorithms for soccer and basketball. Finally, the detected goal events in soccer and play events in basketball are employed to generate summaries of long games. The efficiency and effectiveness of the proposed system and the algorithms have been shown over more than 13 hours of sports video captured by the broadcasters from different regions around the world.","PeriodicalId":121249,"journal":{"name":"2003 Conference on Computer Vision and Pattern Recognition Workshop","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127374583","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
Application of Structured Illumination in Nano-Scale Vision 结构照明在纳米视觉中的应用
2003 Conference on Computer Vision and Pattern Recognition Workshop Pub Date : 2003-06-16 DOI: 10.1109/CVPRW.2003.10019
J. Ryu, Berthold K. P. Horn, M. S. Mermelstein, S. Hong, D. M. Freeman
{"title":"Application of Structured Illumination in Nano-Scale Vision","authors":"J. Ryu, Berthold K. P. Horn, M. S. Mermelstein, S. Hong, D. M. Freeman","doi":"10.1109/CVPRW.2003.10019","DOIUrl":"https://doi.org/10.1109/CVPRW.2003.10019","url":null,"abstract":"We describe how structured illumination patterns can be used to increase the resolution of an imaging system for optical microscopy. A target is illuminated by a sequence of finely textured light patterns formed by the interference of multiple coherent beams. The sequence of brightness values reported from a single pixel of a CCD imager encodes the target contrast pattern with sub-pixel resolution. Fourier domain components at spatial frequencies contained in the probing illumination patterns can be recovered from the pixel brightness sequence by solving a set of over-determined linear equations. We show that uniform angular spacing of the beams generating the illumination patterns leads to less than ideal sampling of the transform space and we propose alternative geometric arrangements. We describe an image reconstruction algorithm based on the Voronoi diagram that applies when the transform domain is not sampled uniformly. Finally, the contrast patterns within individual pixels can be spliced together to forman image encompassing multiple pixels.","PeriodicalId":121249,"journal":{"name":"2003 Conference on Computer Vision and Pattern Recognition Workshop","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121804588","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
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