发布求助
文献互助 智能选刊 最新文献

2019 Nicograph International (NicoInt)最新文献

筛选
英文 中文
A Method of Feature Lines Generation of Cultural Relics Based on Point Clouds 一种基于点云的文物特征线生成方法
2019 Nicograph International (NicoInt) Pub Date : 2019-07-01 DOI: 10.1109/NICOInt.2019.00037
Zepeng Wang, Yiyuan Zu, Yixin Shen, Xianmiao Wang, Xi Yang, Zhiyi Zhang
{"title":"A Method of Feature Lines Generation of Cultural Relics Based on Point Clouds","authors":"Zepeng Wang, Yiyuan Zu, Yixin Shen, Xianmiao Wang, Xi Yang, Zhiyi Zhang","doi":"10.1109/NICOInt.2019.00037","DOIUrl":"https://doi.org/10.1109/NICOInt.2019.00037","url":null,"abstract":"The feature lines extraction technology of 3D models has been well applied to cultural relics protection and archaeological drawings. For the problem of drawing archaeological documentations, this paper explores a method based on point clouds of cultural relics, which has good anti-noise ability for sparse clouds. In addition, it will cost less time and space complexity to acquire accurate feature.","PeriodicalId":436332,"journal":{"name":"2019 Nicograph International (NicoInt)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131998054","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
Segmentation based Non-learning Product Detection for Product Recognition on Store Shelves 基于分割的非学习产品检测在货架上的产品识别
2019 Nicograph International (NicoInt) Pub Date : 2019-07-01 DOI: 10.1109/NICOInt.2019.00009
Haitian Sun, Kenji Hanata, Hideomi Sato, Ichiro Tsuchitani, T. Akashi
{"title":"Segmentation based Non-learning Product Detection for Product Recognition on Store Shelves","authors":"Haitian Sun, Kenji Hanata, Hideomi Sato, Ichiro Tsuchitani, T. Akashi","doi":"10.1109/NICOInt.2019.00009","DOIUrl":"https://doi.org/10.1109/NICOInt.2019.00009","url":null,"abstract":"The arrangement of products on store shelves can refer to commercial contracts, sale achievement, and customer satisfaction. At present, clerks check the arrangement manually, which spends time, costs human resource significantly, and can disturb shopping customers. Although automatic methods via computer vision (often incorporating machine learning) can solve the issue, the existing methods need single product template images for detection, facing the difficult collection of master images and the frequent upgrade of products. In this paper, we propose to detect products on store shelves by segmenting the shelves horizontally and vertically without template images and machine learning. The horizontal segmentation is based on clapboard detection via casting lateral gradient votes. The vertical segmentation contains the linear region of interest (ROI) optimization and shadow detection by longitudinal gradient grouping. In experiments, we compare our method with the only existing non-template method, and our method outperforms the existing method.","PeriodicalId":436332,"journal":{"name":"2019 Nicograph International (NicoInt)","volume":"317 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124290135","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
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信