{"title":"High precision blind navigation system based on haptic and spatial cognition","authors":"Jiangang Ma, Jianghua Zheng","doi":"10.1109/ICIVC.2017.7984696","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984696","url":null,"abstract":"How to guide the visually impaired walk safely and independently in strange environment is one of the urgent tasks. For such situation, we proposed a system which is high precision navigation system based on haptic and the blind spatial cognition. The system combined with spatial cognition features of the blind and ultra-wideband (UWB) wireless positioning technology to realize the precise positioning, using the different vibration prompt mode and voice prompt mode to guide the blind pedestrians. The accuracy of UWB technology achieved positioning decimeter level is used to positioning the visually impaired for completing the route guidance. Different vibration would tip the blind in a noisy environment when voice prompt interference. This schedule can reduce the blind cognitive pressure and providing a more diverse choice for precise positioning and routes prompting.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125121525","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":"Estimating concept understanding ability for exploratory search query recommendations","authors":"Xinwei Liu","doi":"10.1109/ICIVC.2017.7984709","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984709","url":null,"abstract":"Query recommendations have been used to help users leaning new concepts in exploration search. However, people may not be able to understand the recommended concepts, leading extra cognitive burden in the search process. This paper studies the problem of estimating the concept understanding ability for users. Based on folksonomy, this paper introduces a user knowledge model to represent the known knowledge for a user, and a concept association model to represent the knowledge required to understand a concept. Based on PageRank and personalized PageRank, this paper estimates the probability that a user understands a concept using his personal knowledge and the global knowledge. An experiment was ducted to evaluate the proposed methods and algorithms.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123606488","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":"Image inpainting with LS-SVM based on additive high order kernel","authors":"Qi Kaijie, Jiang Ruirui, Yang Yanxi, Zhang Fan","doi":"10.1109/ICIVC.2017.7984587","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984587","url":null,"abstract":"This paper discusses the application of least squares support vector machine (LS-SVM) in image inpainting. The data with strong correlation with the damaged area are selected to train the LS-SVM model, and then predict the damaged parts with the obtained model. In order to make full use of the correlation in the image, this paper employs the additive high order kernel function to improve the prediction accuracy of LS-SVM model. The experimental results show that the presented LS-SVM model improves the inpainting obviously.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114791845","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":"Experiment design of machine vision measurement based on set algebra theory for discrete mathematics course","authors":"Zhi-hai Sun","doi":"10.1109/ICIVC.2017.7984644","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984644","url":null,"abstract":"Set algebra theory is the core content of discrete mathematics set theory. Set algebra theory is commonly difficult to understand for new learners. Combining both image processing technology and machine vision, under the basic set algebra theory of union, intersection, relative complement and absolute complement operation, sets basic operation experiments in image processing and set algebra applied experiment in machine vision are proposed. Corresponding codes of matlab are shown in this paper. Experimental designs of basic image processing operations, machine vision applications of beverage bottle defect detection and gear parameter measurement using set algebra theory are proposed in this paper. These methods proposed could be shared in discrete mathematics class, used as application case for set algebra theory and especially used as after-school experiments or homework.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124333868","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":"An efficient algorithm for incremental and interactive high utility itemset mining","authors":"Shi-Ming Guo, Hong Gao","doi":"10.1109/ICIVC.2017.7984704","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984704","url":null,"abstract":"High utility itemset mining (HUIM) is an important data-mining task. Most of existing algorithms for HUIM do not consider transaction addition and deletion. When a database is updated, they need to scan the whole database to rebuild their data structures. To deal with this problem, an efficient tree structure IHUP-Tree is proposed. IHUP-Tree can be adjusted efficiently when a transaction is added into or deleted from a database. Incremental HUIM can be performed efficiently based on IHUP-Tree. IHUP-Tree can also be applied in interactive HUIM. The algorithm based on IHUP-Tree discovers high utility itemsets (HUIs) in two phases. In phase I, an over-estimated technique is adopted to set an upper bound for the utility of an itemset in the database. The itemsets whose over-estimated utilities are no less than a user-specified minimum utility threshold are selected as candidates. In phase II, the candidates are verified by scanning the database one more time. However the algorithm based on IHUP-Tree generates too many candidates, and it is time-consuming to verify them. Thus in this paper we proposed a novel tree structure IHUIL-Tree and an efficient algorithm IHUI-Miner for incremental and interactive HUIM. Different from the algorithm based on IHUP-Tree, IHUI-Miner does not generate any candidate. Extensive performance analyses show our proposed tree structure is efficient, and our algorithm is at least one order of magnitude faster than the state-of-the-art algorithm in increment and interactive HUIM.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124524341","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 retinal vessel extraction method based on dynamic scales allocation","authors":"Duoduo Gou, Tong Ma, Ying Wei","doi":"10.1109/ICIVC.2017.7984535","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984535","url":null,"abstract":"Automatic extraction of retinal vessels is significant for diagnosis of eye diseases. Currently, the automatic extraction of the vessels in the retinal images with very low contrast and various widths is a bottleneck. In this paper an effective retinal blood vessel extraction method to detect fine vessels more accurately was presented. The contribution of this work is that a novel dynamic scale allocation scheme of the matched filter was proposed. The whole image is divided into sub-blocks. The histogram of each sub-block is fitted by Gaussian function whose fitting parameters are used to select the scales. Compared with the existing blood vessel extraction using uniform multiscale matched filter, the proposed method detects many fine vessels drowned by noise and has good width estimation.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125741006","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":"Digital description and recognition of pollen granules with invariant moments","authors":"G. Amu, S. Hasi","doi":"10.1109/ICIVC.2017.7984559","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984559","url":null,"abstract":"Pollen granules are one of the most stable microstructures of herbal flowers, and their ektexines possess strong anti-acid, anti-base and anti-biolysis properties. Therefore, the microstructures of pollen granules are not destroyed during storage, manufacturing and the production of different preparations. The shapes, sizes and colors of pollen granules are different in different families, genera and species of herbal flowers. These characteristics make the pollen granules of herbal flowers ideal for microscopic identification. To facilitate automatic recognition and improve the identification of Chinese herbal flowers, 1320 microscopic images of pollen granules from 13 different species were described and identified by pseudo-Jacobi Fourier moments in this paper. The experimental results showed that the moments can digitally describe and successfully identify the pollen granules, and the average identification rate was 90.2%. These results pave the way for the digitalization and automatic recognition of the microstructures of Chinese herbs.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"55 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134005280","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":"Structure extraction of straight wing aircraft using consistent line clustering","authors":"Jing Luo, Xichao Teng, Xiaohu Zhang, Lijun Zhong","doi":"10.1109/ICIVC.2017.7984540","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984540","url":null,"abstract":"In this paper, we propose a new method to automatically extract the main structure (fuselage and wings) of straight wing aircraft in photographic images using line clustering. We exploit the location, length and orientation features (parallel constraint) of line segments to group them into line clusters. The different line clusters correspond to the different structure of straight wing aircraft, and we can extract fuselage and wing of straight wing aircraft accordingly. We adopt line segment detector to extract line features, mean-shift and k-means++ approaches are applied to group line segments. The experimental results demonstrate that our method is effective for the structure extraction of straight wing aircraft.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134397918","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}
Yongliang Li, Huaiqing Zhang, Tingdong Yang, Zaiyang Ma
{"title":"Visual simulation of interactive process of stand growth, structure and thinning","authors":"Yongliang Li, Huaiqing Zhang, Tingdong Yang, Zaiyang Ma","doi":"10.1109/ICIVC.2017.7984655","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984655","url":null,"abstract":"A new visual simulation method of interactive process of forest management was proposed. First of all, we developed a manager-oriented visual workflow designer and designed ten graphic self-defined activities. Secondly, using lexical, syntax and semantic analysis of compiler principles, a self-defined mathematical model parser was constructed and a self-defined visualization model of stand growth was achieved. Thirdly, combining thinning measures and stand structure analysis, five quantitative indices for selecting and removing trees were defined and visualization models of interactive decision making for tree removal and self-defined stand thinning measures were constructed. Furthermore, stand statuses in three dimensions were visually simulated before and after thinning. By integrating the abovementioned techniques and methods, in addition, we established a visual workflow model of interactive thinning using man-machine interaction and graphic format and realized the visual simulation of interactive thinning by designing workflow tracking services and a workflow engine. The visual simulation of interactive thinning was tested through a pure Chinese fir plantation plot. The results showed that the intuitive visual simulation of the stand growth, stand structure and thinning as well as their interaction of information could be achieved, and that the whole process was manager-oriented with strong adaptability, visualization, operability and interactivity. This technique can implement the visual simulation of thinning process, effect and stand dynamics in the future and achieve the real-time monitoring and guidance on thinning.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130906848","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}
Michael Yao-Ping Peng, Sheng-Hwa Tuan, Feng-Chi Liu
{"title":"Establishment of big data application platform for education industry","authors":"Michael Yao-Ping Peng, Sheng-Hwa Tuan, Feng-Chi Liu","doi":"10.1109/ICIVC.2017.7984700","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984700","url":null,"abstract":"The applications on big data storage and analysis to extract useful information are getting more mature, but the development and operations in educational industry are yet to be strengthened. This study aims to explore the learning data from its original e-learning platform, connecting employment data and school learning records for analysis and mining.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132739645","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}