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2019 XV Workshop de Visão Computacional (WVC)最新文献

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Alternative Signatures based on Randomized Neural Network for Texture Classification 基于随机神经网络的纹理分类替代签名
2019 XV Workshop de Visão Computacional (WVC) Pub Date : 2019-09-01 DOI: 10.1109/WVC.2019.8876952
Macário Martins Leitão Júnior, Jarbas Joaci de Mesquita Sá Junior
{"title":"Alternative Signatures based on Randomized Neural Network for Texture Classification","authors":"Macário Martins Leitão Júnior, Jarbas Joaci de Mesquita Sá Junior","doi":"10.1109/WVC.2019.8876952","DOIUrl":"https://doi.org/10.1109/WVC.2019.8876952","url":null,"abstract":"This paper describes two alternative methods for texture signature extraction based on a Randomized Neural Network (RNN), an artificial neural network with a single hidden layer architecture. The proposed signatures are promising ways to increase the discriminating capacity for texture recognition, while also keeping a fast feature building process. Experiments showed that the accuracy of texture classification using the new signatures is higher than other texture description methods in the literature.","PeriodicalId":144641,"journal":{"name":"2019 XV Workshop de Visão Computacional (WVC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130177218","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
Coffee Leaf Rust Detection Using Convolutional Neural Network 基于卷积神经网络的咖啡叶锈病检测
2019 XV Workshop de Visão Computacional (WVC) Pub Date : 2019-09-01 DOI: 10.1109/WVC.2019.8876931
A. Marcos, Natan Luis Silva Rodovalho, A. Backes
{"title":"Coffee Leaf Rust Detection Using Convolutional Neural Network","authors":"A. Marcos, Natan Luis Silva Rodovalho, A. Backes","doi":"10.1109/WVC.2019.8876931","DOIUrl":"https://doi.org/10.1109/WVC.2019.8876931","url":null,"abstract":"Rust is a severe disease affecting many productive coffee regions. It is caused by a pathogenic fungi that attacks the underside of coffee leaves and it is characterized by the presence of yellow-orange and powdery points. If not treated, rust can cause a drop in coffee production of up to 45%. In this sense, this paper presents a contribution to the problem of rust identification that doesn’t use “handcrafted” features, i.e., features extracted according to rules established by human programmers. Instead, we propose to train a Convolutional Neural Network (CNN) to learn to identify rust infection. We evaluated our CNN in a set of images provided by an expert and comparison results show that our approach is able to to detect the infection with a high precision, as corroborated by the high Dice coefficient obtained.","PeriodicalId":144641,"journal":{"name":"2019 XV Workshop de Visão Computacional (WVC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127298065","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: 27
A New Approach for Image Classification Applying Reduction of Colored Keypoints 一种基于彩色关键点约简的图像分类新方法
2019 XV Workshop de Visão Computacional (WVC) Pub Date : 2019-09-01 DOI: 10.1109/WVC.2019.8876910
Marcelo R. Borth, H. Pistori, W. Gonçalves, D. Sant’Ana, Celso Soares Costa, M. Pache
{"title":"A New Approach for Image Classification Applying Reduction of Colored Keypoints","authors":"Marcelo R. Borth, H. Pistori, W. Gonçalves, D. Sant’Ana, Celso Soares Costa, M. Pache","doi":"10.1109/WVC.2019.8876910","DOIUrl":"https://doi.org/10.1109/WVC.2019.8876910","url":null,"abstract":"There are algorithms for feature extraction such as SIFT and Opponent-SIFT, which detect and describe keypoints. In image classification, it is common to have an image dataset. Therefore, when using an algorithm to detect and describe local features in a set of images, the number of keypoints detected by class can be disproportionate. This paper presents a novel approach to reduce the number of keypoints (and colored keypoints) in images after the feature extraction process so that computer vision techniques can be applied to image classification problems. This approach uses Zipf’s Law and the Pareto Principle to conduct the new strategy to reduce keypoints. An experiment was conducted comparing four different strategies. Results are encouraging, and the proposal opens new paths for keypoints reduction and syntactical pattern recognition. The classification reached an F-Measure of 76,8%, and the computer performance (execution time) has increased from 9 to 1900 times.","PeriodicalId":144641,"journal":{"name":"2019 XV Workshop de Visão Computacional (WVC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115580984","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
[WVC 2019 Title Page] [WVC 2019标题页]
2019 XV Workshop de Visão Computacional (WVC) Pub Date : 2019-09-01 DOI: 10.1109/wvc.2019.8876923
{"title":"[WVC 2019 Title Page]","authors":"","doi":"10.1109/wvc.2019.8876923","DOIUrl":"https://doi.org/10.1109/wvc.2019.8876923","url":null,"abstract":"","PeriodicalId":144641,"journal":{"name":"2019 XV Workshop de Visão Computacional (WVC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131183052","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
Retinal Image Multimodal and Multitemporal Registration for a Multispot Laser Photocoagulation Device 多点激光光凝装置视网膜图像多模态多时间配准
2019 XV Workshop de Visão Computacional (WVC) Pub Date : 2019-09-01 DOI: 10.1109/WVC.2019.8876918
Otoni P. Patricia, Rodrigues L. L. Evandro
{"title":"Retinal Image Multimodal and Multitemporal Registration for a Multispot Laser Photocoagulation Device","authors":"Otoni P. Patricia, Rodrigues L. L. Evandro","doi":"10.1109/WVC.2019.8876918","DOIUrl":"https://doi.org/10.1109/WVC.2019.8876918","url":null,"abstract":"This paper aims to assist the physician during the treatment of retinal diseases by laser photocoagulation, aligning images obtained by different acquisition methods in preliminary examinations to the treatment. Thus, an algorithm with combinations and arrangements of related methods was proposed, in order to allow the multimodal recording of retinal images. The proposed algorithm performs the detection of points of interest using SURF, elaborates the characteristic descriptor of each point using a combination of SIFT and PIIFD, eliminates the outliers by means of a Robust Point Matching method via Vector Field Consensus (VFC) and finally performs the registration with the Geometric Transformation of the type Affine. The algorithm was tested in 40 pairs of multimodal retinal images and performed better when compared to existing algorithms in terms of precision and robustness.","PeriodicalId":144641,"journal":{"name":"2019 XV Workshop de Visão Computacional (WVC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122286160","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
A Multivariate Correlation Assessment of Chess Proficiency Using Brain Signals 利用脑信号对国际象棋熟练程度的多元相关评估
2019 XV Workshop de Visão Computacional (WVC) Pub Date : 2019-09-01 DOI: 10.1109/WVC.2019.8876928
Laercio R. Silva Junior, C. Thomaz
{"title":"A Multivariate Correlation Assessment of Chess Proficiency Using Brain Signals","authors":"Laercio R. Silva Junior, C. Thomaz","doi":"10.1109/WVC.2019.8876928","DOIUrl":"https://doi.org/10.1109/WVC.2019.8876928","url":null,"abstract":"Chess game has attracted the interest of many academic works with several experiments carried out to address the differences in brain activation on proficients and non-proficients chess players. However, none of these works takes into account explicitly the cognitive patterns of the chess players to rank and classify them. In our work, we aim to present a cognitive model, using EEG and multivariate statistical methods, to assess chess volunteers and compare their performance to the traditional metric based on accuracy and response time. In total, 32 volunteers have participated in this study based on visual stimuli computationally generated. Our main results show that it is important not only to top rank the volunteers with high accuracy and low response time, but also understand how the main brain processes occur to a chess expert to achieve such top performance.","PeriodicalId":144641,"journal":{"name":"2019 XV Workshop de Visão Computacional (WVC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134381490","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: 2
A Bio-Inspired Methodology for Digital Imaging Forensic Detection 一种生物启发的数字成像法医检测方法
2019 XV Workshop de Visão Computacional (WVC) Pub Date : 2019-09-01 DOI: 10.1109/WVC.2019.8876915
Guilherme L. Santos, G. R. Oliveira, Fernando F. Prado, Rafael Serikaku, R. M. Santos, G. Wachs-Lopes, P. S. Rodrigues
{"title":"A Bio-Inspired Methodology for Digital Imaging Forensic Detection","authors":"Guilherme L. Santos, G. R. Oliveira, Fernando F. Prado, Rafael Serikaku, R. M. Santos, G. Wachs-Lopes, P. S. Rodrigues","doi":"10.1109/WVC.2019.8876915","DOIUrl":"https://doi.org/10.1109/WVC.2019.8876915","url":null,"abstract":"The increasing number of digital media users, as well as the development of multimedia platforms, such as smartphones and tablets, has also increased the number of users who professionally and fraudulently manipulate all types of digital media. This paper proposes a methodology based on an image processing pipeline to detect mainly copy-move type frauds, which are intended to hide or enlarge visual information. Our proposal has been tested in a Copy-Move Forgery database and the results were equal or better in performance than the state-of-art methods.","PeriodicalId":144641,"journal":{"name":"2019 XV Workshop de Visão Computacional (WVC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127446596","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: 2
Facial Makeup Detection using the CMYK Color Model and Convolutional Neural Networks 基于CMYK颜色模型和卷积神经网络的面部化妆检测
2019 XV Workshop de Visão Computacional (WVC) Pub Date : 2019-09-01 DOI: 10.1109/WVC.2019.8876943
M. G. Bertacchi, I. Silveira
{"title":"Facial Makeup Detection using the CMYK Color Model and Convolutional Neural Networks","authors":"M. G. Bertacchi, I. Silveira","doi":"10.1109/WVC.2019.8876943","DOIUrl":"https://doi.org/10.1109/WVC.2019.8876943","url":null,"abstract":"This work presents a facial makeup detection technique using CMYK and Neural Networks. The main goal is to detect facial makeup using the CMYK color model, and analyzing its results by comparing it to the HSV color model, which is widely used in the literature. In the detection process, each image was separated into regions of interest (the eyes and the whole face). Five image databases were chosen, all varying in lighting and environment conditions. In HSV, 91% of accuracy was achieved on the eye region and 92% on the face. In CMYK, the results obtained had 97% of accuracy on the eye region and 95% on the face. Therefore, based on the results achieved, the CMYK color model, even though it is mainly used in Printing, deserves attention in the area of Computer Vision, involving Makeup Detection.","PeriodicalId":144641,"journal":{"name":"2019 XV Workshop de Visão Computacional (WVC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125374934","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: 2
WVC 2019 Preface
2019 XV Workshop de Visão Computacional (WVC) Pub Date : 2019-09-01 DOI: 10.1109/wvc.2019.8876953
{"title":"WVC 2019 Preface","authors":"","doi":"10.1109/wvc.2019.8876953","DOIUrl":"https://doi.org/10.1109/wvc.2019.8876953","url":null,"abstract":"","PeriodicalId":144641,"journal":{"name":"2019 XV Workshop de Visão Computacional (WVC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129278429","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
Automation of Waste Sorting with Deep Learning 基于深度学习的垃圾分类自动化
2019 XV Workshop de Visão Computacional (WVC) Pub Date : 2019-07-18 DOI: 10.1109/WVC.2019.8876924
J. Sousa, Ana Rebelo, Jaime S. Cardoso
{"title":"Automation of Waste Sorting with Deep Learning","authors":"J. Sousa, Ana Rebelo, Jaime S. Cardoso","doi":"10.1109/WVC.2019.8876924","DOIUrl":"https://doi.org/10.1109/WVC.2019.8876924","url":null,"abstract":"The importance of recycling is well known, either for environmental or economic reasons, it is impossible to escape it and the industry demands efficiency. Manual labour and traditional industrial sorting techniques are not capable of keeping up with the objectives demanded by the international community. Solutions based in computer vision techniques have the potential automate part of the waste handling tasks. In this paper, we propose a hierarchical deep learning approach for waste detection and classification in food trays. The proposed two-step approach retains the advantages of recent object detectors (as Faster R-CNN) and allows the classification task to be supported in higher resolution bounding boxes. Additionally, we also collect, annotate and make available to the scientific community a new dataset, named Labeled Waste in the Wild, for research and benchmark purposes. In the experimental comparison with standard deep learning approaches, the proposed hierarchical model shows better detection and classification performance.","PeriodicalId":144641,"journal":{"name":"2019 XV Workshop de Visão Computacional (WVC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128628363","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: 43
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