... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging最新文献_第8页

Facial expression recognition based on conjugate gradient extreme learning machine 基于共轭梯度极值学习机的面部表情识别

... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540969

Jian Chen

引用次数: 1

A progressive approach for single image super-resolution 单幅图像超分辨率的一种渐进式方法

... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540564

Yongbo Liang, Guo Cao, Xuesong Li

引用次数: 0

Effective vision- and SoC-based fall detection for the elderly 有效的基于视觉和soc的老年人跌倒检测

... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540488

K. Chung, Chi-Huang Liao, Li-Ting Liu, De-Hao Liu, Yu-Sheng Chan, Jen-Shun Cheng

引用次数: 0

Retrospective convolution and static sample synthesis for instantaneous change detection 回顾性卷积和静态样本合成瞬时变化检测

... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540999

Chao Chen, S. Zhang, Cuibing Du

{"title":"Retrospective convolution and static sample synthesis for instantaneous change detection","authors":"Chao Chen, S. Zhang, Cuibing Du","doi":"10.1117/12.2540999","DOIUrl":"https://doi.org/10.1117/12.2540999","url":null,"abstract":"Change detection has been a challenging visual task due to the dynamic nature of real-world scenes. Good performance of existing methods depends largely on prior background images or a long-term observation. These methods, however, suffer severe degradation when they are applied to detection of instantaneously occurred changes with only a few preceding frames provided. In this paper, we exploit spatio-temporal convolutional networks to address this challenge, and propose a novel retrospective convolution, which features efficient change information extraction between the current frame and frames from historical observation. To address the problem of foreground-specific overfitting in learning-based methods, we further propose a data augmentation method, named static sample synthesis, to guide the network to focus on learning change-cued information rather than specific spatial features of foreground. Trained end-to-end with complex scenarios, our framework proves to be accurate in detecting instantaneous changes and robust in combating diverse noises. Extensive experiments demonstrate that our proposed method significantly outperforms existing methods.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"1 1","pages":"111980S - 111980S-6"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89550260","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

Effective region-based chroma subsampling method for Bayer CFA images 基于区域的Bayer CFA图像色度子采样方法

... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540491

K. Chung, Wei-Che Chien, Yu-Ling Lee, Chao-Liang Yu

引用次数: 1

Detection of imitation from authentic shoe apparel using integrated image processing techniques 基于集成图像处理技术的真品鞋类服装仿制品检测

... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540392

Jessie R. Balbin, McTroy John S. Mordido, Jhohn Ramses B. Pelayo, Ivan Hur Y. Tacderas, Jucel Adelyn F. Tornea, Leonardo D. Valiente

{"title":"Detection of imitation from authentic shoe apparel using integrated image processing techniques","authors":"Jessie R. Balbin, McTroy John S. Mordido, Jhohn Ramses B. Pelayo, Ivan Hur Y. Tacderas, Jucel Adelyn F. Tornea, Leonardo D. Valiente","doi":"10.1117/12.2540392","DOIUrl":"https://doi.org/10.1117/12.2540392","url":null,"abstract":"Counterfeit protection plays an essential role in the business industry. A manufacturer and seller of these products gain income by misleading consumers into buying replicas and Class A products. This holds true for designer clothes, bags, jewelry, shoes, etc. Counterfeit products are produced with the intent to take advantage of the superior value of the original product. In this paper, the researchers propose a method of detecting counterfeit shoes, specifically Stan Smith and Gazelle of Adidas Company. The shoes will be captured in specific areas such as midsole, insole, quarter, tongue, sole, and heel cap where Adidas logos or trademark is present. This study uses image processing techniques such as Circular Hough Transform, A-KAZE, and Optical Character Recognition. The results showed that the methods were successful in determining an authentic shoe from a non-authentic shoe. It was determined that the system has an accuracy of 93% and 96%, while having an error rate of 7% and 4% for Gazelle and Stan Smith respectively. Furthermore, a true positive rate of 100% for both shoes implies that whenever a shoe is predicted to be authentic it is actually authentic. On another note, a false positive rate of 12.3% and 7.4% for Gazelle and Stan Smith respectively implies how often is it predicted to be authentic when it is actually not authentic.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"330 1","pages":"1119803 - 1119803-5"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76574057","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

MBNet: multi-scale bilinear convolutional neural networks for fine-grained visual classification towards real-time tasks 面向实时任务的细粒度视觉分类的多尺度双线性卷积神经网络

... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540365

Tingqiang Deng, Rui Li, Chunguo Li, Rutian Liao, Yang Liu, Zhen Yang, Luxi Yang

引用次数: 1

Caries lesion detection tool using near infrared image processing and decision tree learning 龋齿病灶检测工具采用近红外图像处理和决策树学习

... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540896

Jessie R. Balbin, Renalyn L. Banhaw, Christian Raye O. Martin, Joanne Lorie R. Rivera, Jeffrey R. R. Victorino

{"title":"Caries lesion detection tool using near infrared image processing and decision tree learning","authors":"Jessie R. Balbin, Renalyn L. Banhaw, Christian Raye O. Martin, Joanne Lorie R. Rivera, Jeffrey R. R. Victorino","doi":"10.1117/12.2540896","DOIUrl":"https://doi.org/10.1117/12.2540896","url":null,"abstract":"The population of those who are developing caries lesions are increasing. To aid dental practitioners in detecting and identifying caries lesions that the time needed to observe an active lesion can be shortened and be more objective is a great help in slowing down the increasing rate of dental cases. The use of Near infrared light as a non-ionizing alternative for radiograph has been used in several medical studies. To maximize the use of NIR light, a prototype with image filtering and segmentation process and machine learning program was designed to identify caries lesion severity using the International Caries Classification and Management System (ICCMS) Caries Merged Categories. It uses CART (Classification and Regression Trees) a decision tree algorithm that trains to classify data and uses various classifiers for machine learning and model training. In the study, images with NIR illumination were used to test the performance of the prototype which was assessed by the dental practitioner beforehand. A total of 122 tooth samples were used in the simulation. Twenty percent (20%) of the total samples were classified as R0, 40% as RA, sixteen percent (16%) as RB and twenty-four percent (24%) as RC according to the ICCMS caries categories. The prototype was proven to yield results with a confidence level not less than ninety-five percent (95%). The Study was relevant to the process of immediate and non-ionizing determination of carries lesions and to the developing role of NIR light usage for tooth illumination.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"27 1","pages":"111980F - 111980F-5"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84809644","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: 1

Spectral-spatial hyperspectral image classification based on extended training set 基于扩展训练集的光谱-空间高光谱图像分类

... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2018-07-26 DOI: 10.1117/12.2504544

Changli Li, Qing-yun Wang

引用次数: 0

A method of automatic recognition for answer sheet 一种自动识别答题卡的方法

... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2018-07-26 DOI: 10.1117/12.2501869

Yingjie Xia, Xiangru Yu, Rui Chen, Jinping Li, Xiang Wu

{"title":"A method of automatic recognition for answer sheet","authors":"Yingjie Xia, Xiangru Yu, Rui Chen, Jinping Li, Xiang Wu","doi":"10.1117/12.2501869","DOIUrl":"https://doi.org/10.1117/12.2501869","url":null,"abstract":"The traditional method of recognizing an answer sheet is to use optical mark reader (OMR). A kind of OMR only recognizes a certain answer sheet with fixed format, which results in the poor universality of OMR. We propose a recognition method for answer sheet with arbitrary format. After designing the new answer sheet or using the existing ones, the printed answer sheets will become images by high-definition (HD) scanning after being filled in an exam. And the images of answer sheets will be recognized automatically by image processing techniques. According to the positioning cross found in answer sheets, the images will be corrected if they are tilted. Then candidate number recognition, option recognition and page number recognition will be carried out in the order specified by users. The method of maximum between-cluster variance will be used for candidate number recognition and option recognition. On the other hand, the page number of answer sheet will be recognized by template matching. Experimental results show that the accuracy can reach 100%. And this method can be realized easily, the cost is low, and it has good universality.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"71 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77468189","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