10th International Conference on Pattern Recognition Systems (ICPRS-2019)最新文献

{"title":"A New Normalized Method of Object Shape-based Recognition and Localization","authors":"Behrang Moradi, H. Abdulrahman, Baptiste Magnier","doi":"10.1049/CP.2019.0246","DOIUrl":"https://doi.org/10.1049/CP.2019.0246","url":null,"abstract":"This paper introduces a new normalized measure for the assessment of a contour-based object pose. This algorithm allows a supervised assessment of recognition and localization of known objects, the differences between a reference edge map and a candidate image are quantified by computing a performance measure. This measure is normalized and is able determine the degree to which an object shape differs from a desired position. Compared to 6 other approaches, experiments on real images at different sizes/scales exhibit the suitability of the new method for an object pose or shape matching estimation.","PeriodicalId":397398,"journal":{"name":"10th International Conference on Pattern Recognition Systems (ICPRS-2019)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121611293","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}

{"title":"Simultaneous filtering and sharpening of vector-valued images with numerical schemes","authors":"Paulo González-Gutiérrez, T. Garcia, P. Spiterif, C. Tauber","doi":"10.1049/cp.2019.0249","DOIUrl":"https://doi.org/10.1049/cp.2019.0249","url":null,"abstract":"","PeriodicalId":397398,"journal":{"name":"10th International Conference on Pattern Recognition Systems (ICPRS-2019)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127542878","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}

{"title":"Structural information and (hyper)graph matching for MRI piglet brain extraction","authors":"Alexandre Durandeau, Jean-Baptiste Fasquel, I. Bloch, E. Mazerand, P. Menei, C. Montero-Menei, M. Dinomais","doi":"10.1049/cp.2019.0252","DOIUrl":"https://doi.org/10.1049/cp.2019.0252","url":null,"abstract":"In the context of the study of the maturation process of the infant brain, this paper focuses on postnatal piglet brain, whose structure is similar to the one of an infant. Due to the small size of the piglet brain and the abundance of surrounding fat and muscles, the automatic brain extraction using correctely initialized deformable models is tedious, and the standard approach used for human brain does not apply. The paper proposes an original brain extraction method based on a deformable model, whose initialization is guided by a priori known relationships between some anatomical structures of the head. This concerns a structural model related to a priori known inclusion and photometric relationships between eyes, nose and other internal head entities (fat and muscles). This a priori structural information also involves the relative position of both eyes and nose, assumed to be an anatomical invariant similar to a triangle. Using this structural model, our proposal detects both eyes and nose, from which one deduces the brain center, for finally initializing deformable models. Anatomical structures are retrieved by matching observed relationships with those embedded in the a priori structural model. This involves graph and hypergraph matching, where hypergraph matching concerns relative position of eyes and nose (ternary constraint related to these 3 entities). The method has been implemented and preliminary experiments have been performed on a set of 6 piglets, to evaluate the accuracy of the brain center localization, the one of the final brain extraction using deformable models. The brain center is correctly localized with a mean error of 1.7 mm, underlying the relevance of the approach. The mean similarity index has been measured to be of 0.85 (with a standard deviation of 0.04). More generally, this work illustrates the potential of considering high level a priori known relationships, related to anatomical invariants, managed using graph and hypergraph matching.","PeriodicalId":397398,"journal":{"name":"10th International Conference on Pattern Recognition Systems (ICPRS-2019)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123355904","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}

{"title":"Defect Detection in Tunnel Images using Random Forests and Deep Learning","authors":"G. Decor, M. D. Bah, P. Foucher, P. Charbonnier, F. Heitz","doi":"10.1049/cp.2019.0239","DOIUrl":"https://doi.org/10.1049/cp.2019.0239","url":null,"abstract":"","PeriodicalId":397398,"journal":{"name":"10th International Conference on Pattern Recognition Systems (ICPRS-2019)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132195652","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}

{"title":"A Novel Baseline Estimation Technique for Geometric Correction of Historical Arabic Documents Based on Voronoi Diagrams","authors":"A. Dulla, A. Antonacopoulos","doi":"10.1049/cp.2019.0251","DOIUrl":"https://doi.org/10.1049/cp.2019.0251","url":null,"abstract":"","PeriodicalId":397398,"journal":{"name":"10th International Conference on Pattern Recognition Systems (ICPRS-2019)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124707261","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}

{"title":"Moving Object Detection for Video Satellite Based on Transfer Learning Deep Convolutional Neural Networks","authors":"Zhenguo Yan, Xin Song, Hanyang Zhong, Fengqi Jiang","doi":"10.1049/cp.2019.0257","DOIUrl":"https://doi.org/10.1049/cp.2019.0257","url":null,"abstract":"","PeriodicalId":397398,"journal":{"name":"10th International Conference on Pattern Recognition Systems (ICPRS-2019)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114881099","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}

{"title":"Deep Convolutional Neural Network to predict 1p19q co-deletion and IDH1 mutation status from MRI in Low Grade Gliomas","authors":"S. R. González, I. Zemmoura, Clovis Tauber","doi":"10.1049/cp.2019.0240","DOIUrl":"https://doi.org/10.1049/cp.2019.0240","url":null,"abstract":"","PeriodicalId":397398,"journal":{"name":"10th International Conference on Pattern Recognition Systems (ICPRS-2019)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129378126","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}

{"title":"A Benchmark Dataset for RGB-D Sphere Based Calibration","authors":"David Boas, S. Poltaretskyi, Jean-Yves Ramel, J. Chaoui, J. Berhouet, M. Slimane","doi":"10.1049/cp.2019.0255","DOIUrl":"https://doi.org/10.1049/cp.2019.0255","url":null,"abstract":"","PeriodicalId":397398,"journal":{"name":"10th International Conference on Pattern Recognition Systems (ICPRS-2019)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122157943","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}

{"title":"Minimum volume Constrained non-negative matrix factorization applied to the monitoring of active cosmetic ingredient into the skin in Raman imaging","authors":"A. Stella, F. Bonnier, L. Miloudi, A. Tfayli, F. Yvergnaux, E. Munnier, C. Tauber","doi":"10.1049/cp.2019.0245","DOIUrl":"https://doi.org/10.1049/cp.2019.0245","url":null,"abstract":"","PeriodicalId":397398,"journal":{"name":"10th International Conference on Pattern Recognition Systems (ICPRS-2019)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116579768","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}

{"title":"ParKerC: Toolbox for Parallel Kernel Clustering Methods","authors":"S. Mouysset, R. Guivarch","doi":"10.1049/cp.2019.0253","DOIUrl":"https://doi.org/10.1049/cp.2019.0253","url":null,"abstract":"A large variety of fields such as biology, information retrieval, image segmentation needs unsupervised methods able to gather data without a priori information on shapes or locality. By investigating a parallel strategy based on overlapping domain decomposition, we present a toolbox which is a parallel implementation of two fully unsupervised kernel methods respectively based on density-based properties and spectral properties in order to treat large data sets in fields of pattern recognition.","PeriodicalId":397398,"journal":{"name":"10th International Conference on Pattern Recognition Systems (ICPRS-2019)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122889811","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}