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Proceedings of the International Conference on Machine Vision and Applications最新文献

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Early Diagnosis of Alzheimer's Disease Using Informative Features of Clinical Data 利用临床数据的信息特征早期诊断阿尔茨海默病
Proceedings of the International Conference on Machine Vision and Applications Pub Date : 2018-04-23 DOI: 10.1145/3220511.3220515
Aunsia Khan, Muhammad Usman
{"title":"Early Diagnosis of Alzheimer's Disease Using Informative Features of Clinical Data","authors":"Aunsia Khan, Muhammad Usman","doi":"10.1145/3220511.3220515","DOIUrl":"https://doi.org/10.1145/3220511.3220515","url":null,"abstract":"Diagnosing Alzheimer's disease (AD) is usually difficult, especially when the disease is in its early stage. However, treatment is most likely to be effective at this stage; bringing an advantage in improving the life of patients, diagnosis process. After years of research, still little is known about its detailed mechanism. The AD patients undergo different physical examinations, brain scans, and laboratory tests etc. that require them to physically visit the medical center multiple times. Such visits further result in each patient's massive data stored for clinical diagnosis. This elevates the possibility of using informative rich variables from this data for the early detection of AD with the help of Machine Learning (ML) techniques. However, the previously proposed models endure a number of limitations which place strong barriers towards the direct applicability of such models for accurate prediction. A number of classifiers have been utilized in the literature but none of the previous work utilized the two major categories of variables namely clinical diagnosis and clinical judgment. In this paper, we utilize these two categories of data and perform a comparative evaluation of the predominant machine learning algorithms in terms of prediction accuracy, precision, recall (AUC) and training time. Our experimental results revealed that Bayesian based classifiers improve AD detection accuracy and allows the meaningful interpretation of predictive model which assists in early prognosis of AD for each patient.","PeriodicalId":177319,"journal":{"name":"Proceedings of the International Conference on Machine Vision and Applications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134227227","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
Density-Based Manifold Collective Clustering for Coherent Motion Detection 基于密度的流形聚类相干运动检测
Proceedings of the International Conference on Machine Vision and Applications Pub Date : 2018-04-23 DOI: 10.1145/3220511.3220521
Luyang Wang, Guohui Li, Jun Lei, Tao Wang, Yuqian Zhang
{"title":"Density-Based Manifold Collective Clustering for Coherent Motion Detection","authors":"Luyang Wang, Guohui Li, Jun Lei, Tao Wang, Yuqian Zhang","doi":"10.1145/3220511.3220521","DOIUrl":"https://doi.org/10.1145/3220511.3220521","url":null,"abstract":"Detecting coherent motion remains a challenging problem with important applications for the video surveillance and understanding of crowds. In this study, we propose the Density-based Manifold Collective Clustering approach to recognize both local and global coherent motion having arbitrary shapes and varying densities. Firstly, a new manifold distance metric is developed to reveal the underlying patterns with topological manifold structure. Based on the novel definition of collective density, the Density-based collective clustering algorithm is further presented to recognize the local consistency, where its strategy is more adaptive to recognize clusters with arbitrary shapes. Finally, considering the complex interaction among subgroups, a hierarchical collectiveness merging algorithm is introduced to fully characterize the global consistency. Experiments on several challenging video datasets demonstrate the effectiveness of our approach for coherent motion detection, and the comparisons show its superior performance against state-of-the-art competitors.","PeriodicalId":177319,"journal":{"name":"Proceedings of the International Conference on Machine Vision and Applications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125262079","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
Binarization of Nonuniform Illumination Barcode 非均匀光照条形码的二值化
Proceedings of the International Conference on Machine Vision and Applications Pub Date : 2018-04-23 DOI: 10.1145/3220511.3220520
Zhikui Duan, Yongxiang Zhang, Shiren Li
{"title":"Binarization of Nonuniform Illumination Barcode","authors":"Zhikui Duan, Yongxiang Zhang, Shiren Li","doi":"10.1145/3220511.3220520","DOIUrl":"https://doi.org/10.1145/3220511.3220520","url":null,"abstract":"This paper proposes a novel binarization approach, appropriate for nonuniform illumination barcode. The proposed method firstly clusters pixels of the image into two categories, which is black and white. Next, the variations of these two parts are calculated and binarization is conducted in the part with less variation. Finally, the uneven illumination part is established and recovered in the part with greater variation through both gray-value information and spatial information. The experimental results show that the proposed approach is effective for the uneven illumination barcode.","PeriodicalId":177319,"journal":{"name":"Proceedings of the International Conference on Machine Vision and Applications","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126691081","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 Flow Experience Analysis on the Virtual Reality Artwork: La Camera Insabbiata 虚拟现实艺术作品的流动体验分析:La Camera Insabbiata
Proceedings of the International Conference on Machine Vision and Applications Pub Date : 2018-04-23 DOI: 10.1145/3220511.3220514
M. Huang, Saiau-Yue Tsau
{"title":"A Flow Experience Analysis on the Virtual Reality Artwork: La Camera Insabbiata","authors":"M. Huang, Saiau-Yue Tsau","doi":"10.1145/3220511.3220514","DOIUrl":"https://doi.org/10.1145/3220511.3220514","url":null,"abstract":"The virtual world is a manner in which people can perceive an alternate form of beauty. In it, users can interact through their senses of sight, hearing, and touch; their body perception briefly escapes from the real world, as if they were completely immersed in the illusion. The present study focused on the artwork La Camera Insabbiata, an award-winning virtual reality (VR) artwork. Based on the flow theory proposed by Csikszentmihalyi, this study analyzed the flow experience of the artwork. The findings revealed that a significant difference exists in the degrees of \"skills,\" \"control,\" and \"feedback\" among various age groups; a significant difference exists in the degrees of \"Concentration\" and \"feedback\" among various previous VR experience groups. The findings also indicated that no significant difference exists in the degree of flow experience degree between genders. Therefore, La Camera Insabbiata can be accepted by both men and women, making it easy to promote the artwork to the public. Experiencing this artwork through \"flying\" provides viewers with a sense of presence. During a VR experience, viewers are immersed in the creators' consciousness, because the viewer becomes a co-creator of the artwork. In this respect, the mind of the creator and that of the viewers can be said to merge into one.","PeriodicalId":177319,"journal":{"name":"Proceedings of the International Conference on Machine Vision and Applications","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134227904","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: 11
Deep Learning for Real-Time Robust Facial Expression Analysis 用于实时鲁棒面部表情分析的深度学习
Proceedings of the International Conference on Machine Vision and Applications Pub Date : 2018-04-23 DOI: 10.1145/3220511.3220518
V. Khryashchev, L. Ivanovsky, A. Priorov
{"title":"Deep Learning for Real-Time Robust Facial Expression Analysis","authors":"V. Khryashchev, L. Ivanovsky, A. Priorov","doi":"10.1145/3220511.3220518","DOIUrl":"https://doi.org/10.1145/3220511.3220518","url":null,"abstract":"The aim of this investigation is to classify real-life facial images into one of six types of emotions. For solving this problem, we propose to use deep machine learning algorithms and convolutional neural network (CNN). CNN is a modern type of neural network, which allows for rapid detection of various objects, as well as to make an effective object classification. For acceleration of CNN learning stage, we use supercomputer NVIDIA DGX-1. This process was implemented in parallel on a large number of independent streams on GPU. Numerical experiments for algorithms were performed on the images of Multi-Pie image database with various lighting of scene and angle rotation of head. For developed models, several metrics of quality were calculated. The designing algorithm was used in real-time video processing in human-computer interaction systems. Moreover, expression recognition can apply in such fields as retail analysis, security, video games, animations, psychiatry, automobile safety, educational software, etc.","PeriodicalId":177319,"journal":{"name":"Proceedings of the International Conference on Machine Vision and Applications","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130346446","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
A Color Segmentation and Feature Matching Algorithm for Car Brake Pad Image Classification 一种用于汽车刹车片图像分类的颜色分割与特征匹配算法
Proceedings of the International Conference on Machine Vision and Applications Pub Date : 2018-04-23 DOI: 10.1145/3220511.3220517
Lei Zhao, Wei Huang, Zhenguo Sun
{"title":"A Color Segmentation and Feature Matching Algorithm for Car Brake Pad Image Classification","authors":"Lei Zhao, Wei Huang, Zhenguo Sun","doi":"10.1145/3220511.3220517","DOIUrl":"https://doi.org/10.1145/3220511.3220517","url":null,"abstract":"During the manufacturing of car brake pads, classification of brake pads with different Appearance is an important process, which at present is done mostly through the human eye detection. In this paper, an intelligent car brake pad image classification algorithm based on machine vision technology is proposed. Firstly by using the high-resolution industrial camera with coaxial light source, the image of brake pad on the conveyor is acquired. Then a HSV color space conversion is conducted on the original image. By thresholding the H or S channel of the image and morphological processing, the brake pad foreground is accurately segmented. Following the segmentation, the Hu moments of the brake pad region is extracted as a shape descriptor of the pad. At last the 7-dimentional Hu feature is compared to the templates of different kinds of brake pads to find the best match. Experiments show that the proposed algorithm can successfully segment the brake pads from the dark indistinct background and the classification accuracy reaches 81.7%.","PeriodicalId":177319,"journal":{"name":"Proceedings of the International Conference on Machine Vision and Applications","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133883930","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
Human-Machine Interface System for pre-Diagnosis of Diseasesusing Machine Learning 使用机器学习进行疾病预诊断的人机界面系统
Proceedings of the International Conference on Machine Vision and Applications Pub Date : 2018-04-23 DOI: 10.1145/3220511.3220525
Prajval Gupta, Angel Suryavanshi, Saumil Maheshwari, A. Shukla, R. Tiwari
{"title":"Human-Machine Interface System for pre-Diagnosis of Diseasesusing Machine Learning","authors":"Prajval Gupta, Angel Suryavanshi, Saumil Maheshwari, A. Shukla, R. Tiwari","doi":"10.1145/3220511.3220525","DOIUrl":"https://doi.org/10.1145/3220511.3220525","url":null,"abstract":"The rapid growth of applications of latest information technology into the field of medical sciences have founded the idea to develop such a platform through which pre-diagnosis of diseases could be easy, efficient and less time consuming. This paper talks about two frameworks designed using machine learning algorithms such as ANN, SVM and Decision Tree Induction to develop the models through which a number of diseases can be pre-diagnosed simultaneously with the analysis of symptoms initially recorded in the patient's body. These symptoms and physical readings have been taken as inputs to produce the output i.e. the predicted disease. The most important factors contributing for multiple disease prediction were determined such as age, sex, body temperature, blood pressure and symptoms like nausea, vomiting and fever. Data sets were collected from different hospitals in India during this research. All the models used were able to perform with an accuracy above 85%.","PeriodicalId":177319,"journal":{"name":"Proceedings of the International Conference on Machine Vision and Applications","volume":"62 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114346231","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 Novel Stereo Vision Sensor for Fast Moving Objects 一种用于快速运动物体的新型立体视觉传感器
Proceedings of the International Conference on Machine Vision and Applications Pub Date : 2018-04-23 DOI: 10.1145/3220511.3220524
Suining Wu, Zhen Liu, Yiming Ren, Qun Wu
{"title":"A Novel Stereo Vision Sensor for Fast Moving Objects","authors":"Suining Wu, Zhen Liu, Yiming Ren, Qun Wu","doi":"10.1145/3220511.3220524","DOIUrl":"https://doi.org/10.1145/3220511.3220524","url":null,"abstract":"In this paper, we propose a novel stereo vision sensor for the automatic 3-D dynamic surface measurement, which is able to simultaneously acquire the 2-D scan image and the 3-D reconstruction results. The proposed system mainly concludes a line scan camera, a frame camera and two line lasers. Due to the application of line lasers, the proposed system is able to work accurate and stable under complex lighting condition. About our system, the view plane of line scan camera and the light plane of line laser are in coincidence. First, the calibration of intrinsic, extrinsic parameters and the light plane coefficients are obtained. Epipolar line is calculated to extract the accurate position of image point corresponding to each pixel of line scan camera. Finally, the 3-D shape is reconstructed according to binocular stereo vision model. The 2-D image and 3-D façade information can be synchronously acquired by scanning over objects. Physical experiments show that the proposed stereo vision sensor can provide robust and accurate results.","PeriodicalId":177319,"journal":{"name":"Proceedings of the International Conference on Machine Vision and Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129405871","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
Estimation of Point Cloud Object Pose Using Particle Swarm Optimization 基于粒子群算法的点云目标姿态估计
Proceedings of the International Conference on Machine Vision and Applications Pub Date : 2018-04-23 DOI: 10.1145/3220511.3220512
Ge Yu, Ming Liu, Tianyu Liu, Lili Guo
{"title":"Estimation of Point Cloud Object Pose Using Particle Swarm Optimization","authors":"Ge Yu, Ming Liu, Tianyu Liu, Lili Guo","doi":"10.1145/3220511.3220512","DOIUrl":"https://doi.org/10.1145/3220511.3220512","url":null,"abstract":"In this paper, we deal with the problem of pose estimation based on point cloud. We modify the Iterative closest face (ICF) algorithm by mathematical techniques, in which a new method to calculate point-face distance with less computational cost is proposed. Then, we combine this algorithm with particle swarm optimization to get a better searched result. PSO is employed because there are few parameters to adjust and it is more efficient than the original searched method in ICF. A set of experiments is conducted, following the statistical analysis of the results. These experiments demonstrate the accuracy and robustness of our algorithm.","PeriodicalId":177319,"journal":{"name":"Proceedings of the International Conference on Machine Vision and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129994980","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: 5
Mobile Gesture Recognition 移动手势识别
Proceedings of the International Conference on Machine Vision and Applications Pub Date : 2018-04-23 DOI: 10.1145/3220511.3220519
A. Tsagaris, Dimitrios Trigkas
{"title":"Mobile Gesture Recognition","authors":"A. Tsagaris, Dimitrios Trigkas","doi":"10.1145/3220511.3220519","DOIUrl":"https://doi.org/10.1145/3220511.3220519","url":null,"abstract":"This paper presents a methodology for a real time mobile gesture recognition system. It presents a new kind of Human - Machine interaction through mobile devices (microcontroller) and without the use of typical computer system. With the help of real time gesture recognition technologies and by using camera signal processing (web) the interaction with robotics and mechatronics systems in general can be achieved. The gestures will be continuously followed and can be directly mapped with commands of mechatronic systems such as start moving, stop moving, forward moving, backward moving etc. The proposed methodology relies on the finger gesture data acquisition, hand segmentation, fingertips localization/ identification and high-level feature extraction.","PeriodicalId":177319,"journal":{"name":"Proceedings of the International Conference on Machine Vision and Applications","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126303381","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: 3
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