Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001最新文献_第9页

Error analysis of pure rotation-based self-calibration 纯旋转自校准误差分析

Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 Pub Date : 2001-07-07 DOI: 10.1109/ICCV.2001.937553

Lei Wang, S. B. Kang, H. Shum, Guangyou Xu

引用次数: 2

Alignment of non-overlapping sequences 非重叠序列的比对

Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 Pub Date : 2001-07-07 DOI: 10.1109/ICCV.2001.937607

Y. Caspi, M. Irani

引用次数: 115

3D-mode: a 3D modeling and measurement system using a few photos 3D模式:使用少量照片的3D建模和测量系统

Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 Pub Date : 2001-07-07 DOI: 10.1109/ICCV.2001.937700

Gang Xu, Takahisa Nakayama, Takeshi Kajikawa, Jun-ichi Terai

引用次数: 0

Document restoration using 3D shape: a general deskewing algorithm for arbitrarily warped documents 使用3D形状的文档恢复:用于任意扭曲文档的通用倾斜算法

Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 Pub Date : 2001-07-07 DOI: 10.1109/ICCV.2001.937649

M. S. Brown, W. Seales

{"title":"Document restoration using 3D shape: a general deskewing algorithm for arbitrarily warped documents","authors":"M. S. Brown, W. Seales","doi":"10.1109/ICCV.2001.937649","DOIUrl":"https://doi.org/10.1109/ICCV.2001.937649","url":null,"abstract":"We present a framework for restoring arbitrarily warped and deformed documents to their original planar shape. The impetus for this work is the need for tools and techniques to help digitally preserve and restore fragile manuscripts. Current digitization is performed under the assumption that the documents are flat, with subsequent image-processing and restoration algorithms either relying on this assumption or attempting to overcome it without shape information. Although most manuscripts were originally flat, many become deformed from damage and deterioration. Physical flattening is not possible without risking further, possibly irreversible, damage. Our framework addresses this restoration problem with two primary contributions. First, we present a working 3D digitization setup that acquires a 3D model with accurate shape-to-texture registration under multiple lighting conditions. Second, we show how the 3D model and a mass-spring particle system can be used together as a framework for digital flattening. We show that this restoration process can correct document deformations and can significantly improve subsequent document analysis.","PeriodicalId":429441,"journal":{"name":"Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121472246","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: 120

Continuous global evidence-based Bayesian modality fusion for simultaneous tracking of multiple objects 基于证据的连续全局贝叶斯模态融合多目标同步跟踪

Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 Pub Date : 2001-07-07 DOI: 10.1109/ICCV.2001.937596

J. Sherrah, S. Gong

引用次数: 35

Do we really have to consider covariance matrices for image features? 我们真的需要考虑图像特征的协方差矩阵吗?

Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 Pub Date : 2001-07-07 DOI: 10.1109/ICCV.2001.937640

Yasushi Kanazawa, K. Kanatani

引用次数: 103

Empirical filter estimation for subpixel interpolation and matching 亚像素插值与匹配的经验滤波估计

Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 Pub Date : 2001-07-07 DOI: 10.1109/ICCV.2001.937674

B. Triggs

引用次数: 34

Stripe boundary codes for real-time structured-light range scanning of moving objects 运动物体实时结构光距离扫描的条纹边界码

Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 Pub Date : 2001-07-07 DOI: 10.1109/ICCV.2001.937648

Olaf A. Hall-Holt, S. Rusinkiewicz

引用次数: 266

A Gabor feature classifier for face recognition 人脸识别的Gabor特征分类器

Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 Pub Date : 2001-07-07 DOI: 10.1109/ICCV.2001.937635

Chengjun Liu, H. Wechsler

{"title":"A Gabor feature classifier for face recognition","authors":"Chengjun Liu, H. Wechsler","doi":"10.1109/ICCV.2001.937635","DOIUrl":"https://doi.org/10.1109/ICCV.2001.937635","url":null,"abstract":"This paper describes a novel Gabor feature classifier (GFC) method for face recognition. The GFC method employs an enhanced Fisher discrimination model on an augmented Gabor feature vector, which is derived from the Gabor wavelet transformation of face images. The Gabor wavelets, whose kernels are similar to the 2D receptive field profiles of the mammalian cortical simple cells, exhibit desirable characteristics of spatial locality and orientation selectivity. As a result, the Gabor transformed face images produce salient local and discriminating features that are suitable for face recognition. The feasibility of the new GFC method has been successfully tested on face recognition using 600 FERET frontal face images, which involve different illumination and varied facial expressions of 200 subjects. The effectiveness of the novel GFC method is shown in terms of both absolute performance indices and comparative performance against some popular face recognition schemes such as the eigenfaces method and some other Gabor wavelet based classification methods. In particular, the novel GFC method achieves 100% recognition accuracy using only 62 features.","PeriodicalId":429441,"journal":{"name":"Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131229238","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: 155

An EM algorithm for video summarization, generative model approach 一种视频摘要的EM算法，生成模型方法

Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 Pub Date : 2001-07-07 DOI: 10.1109/ICCV.2001.937645

Xavier Orriols, Xavier Binefa

引用次数: 27