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IEE Proceedings - Vision, Image, and Signal Processing最新文献

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Iris segmentation methodology for non-cooperative recognition 非合作识别的虹膜分割方法
IEE Proceedings - Vision, Image, and Signal Processing Pub Date : 2006-04-06 DOI: 10.1049/IP-VIS:20050213
Hugo Proença, Luís A. Alexandre
{"title":"Iris segmentation methodology for non-cooperative recognition","authors":"Hugo Proença, Luís A. Alexandre","doi":"10.1049/IP-VIS:20050213","DOIUrl":"https://doi.org/10.1049/IP-VIS:20050213","url":null,"abstract":"An overview of the iris image segmentation methodologies for biometric purposes is presented. The main focus is on the analysis of the ability of segmentation algorithms to process images with heterogeneous characteristics, simulating the dynamics of a non-cooperative environment. The accuracy of the four selected methodologies on the UBIRIS database is tested and, having concluded about their weak robustness when dealing with non-optimal images regarding focus, reflections, brightness or eyelid obstruction, the authors introduce a new and more robust iris image segmentation methodology. This new methodology could contribute to the aim of non-cooperative biometric iris recognition, where the ability to process this type of image is required.","PeriodicalId":421313,"journal":{"name":"IEE Proceedings - Vision, Image, and Signal Processing","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129227071","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: 269
Interactive retrieval of video using pre-computed shot-shot similarities 使用预先计算的镜头相似度的视频交互式检索
IEE Proceedings - Vision, Image, and Signal Processing Pub Date : 2005-10-24 DOI: 10.1049/IP-VIS:20045201
L. Boldareva, D. Hiemstra
{"title":"Interactive retrieval of video using pre-computed shot-shot similarities","authors":"L. Boldareva, D. Hiemstra","doi":"10.1049/IP-VIS:20045201","DOIUrl":"https://doi.org/10.1049/IP-VIS:20045201","url":null,"abstract":"A probabilistic framework for content-based interactive video retrieval is described. The developed indexing of video fragments originates from the probability of the user's positive judgment about key-frames of video shots. Initial estimates of the probabilities are obtained from low-level feature representation. Only statistically significant estimates are picked out, the rest are replaced by an appropriate constant allowing efficient access at search time without loss of search quality and leading to improvement in most experiments. With time, these probability estimates are updated from the relevance judgment of users performing searches, resulting in further substantial increases in mean average precision.","PeriodicalId":421313,"journal":{"name":"IEE Proceedings - Vision, Image, and Signal Processing","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132924219","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
Curve segmentation and representation by superellipses 曲线分割与超椭圆表示
IEE Proceedings - Vision, Image, and Signal Processing Pub Date : 1995-10-01 DOI: 10.1049/IP-VIS:19952140
Paul L. Rosin, G. West
{"title":"Curve segmentation and representation by superellipses","authors":"Paul L. Rosin, G. West","doi":"10.1049/IP-VIS:19952140","DOIUrl":"https://doi.org/10.1049/IP-VIS:19952140","url":null,"abstract":"A method of segmenting curves into series of superelliptical arcs is presented. A superellipse is the 2-dimensional form of the superquadratic and can describe circles, ellipses, crosses, parallelograms and rounded rectangles with the same number of parameters. The superellipses are fitted using Powell's technique to minimise an appropriate error metric. A tree is used to represent a number of interpretations and the concept of significance used to choose the most perceptually correct description. Results show that perceptually good features are chosen to represent the various shapes that occur in images.","PeriodicalId":421313,"journal":{"name":"IEE Proceedings - Vision, Image, and Signal Processing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132085492","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: 34
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