{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:14:08Z","timestamp":1740100448043,"version":"3.37.3"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,11,26]],"date-time":"2021-11-26T00:00:00Z","timestamp":1637884800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,11,26]],"date-time":"2021-11-26T00:00:00Z","timestamp":1637884800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,11,26]],"date-time":"2021-11-26T00:00:00Z","timestamp":1637884800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,26]]},"DOI":"10.1109\/m2vip49856.2021.9665142","type":"proceedings-article","created":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T20:42:25Z","timestamp":1641588145000},"page":"281-286","source":"Crossref","is-referenced-by-count":0,"title":["Deep learning based pose estimation method using 3D point clouds"],"prefix":"10.1109","author":[{"given":"Haowen","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shangyou","family":"Ai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chungang","family":"Zhuang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenhua","family":"Xiong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"Orientation-boosted voxel nets for 3d object recognition","year":"2016","author":"sedaghat","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.01.024"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.99"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2019.03.009"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989165"},{"key":"ref15","first-page":"5648","article-title":"Volumetric and multi-view cnns for object classification on 3d data","author":"qi","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.391"},{"key":"ref17","first-page":"945","article-title":"Multi-view convolutional neural networks for 3d shape recognition","author":"su","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_13"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900038"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540108"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1117\/12.57955"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/s19051091"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.265"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206470"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2009.5152473"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00472"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2009.05.013"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00878"},{"article-title":"Spatial transformer networks","year":"2015","author":"jaderberg","key":"ref22"},{"key":"ref21","first-page":"652","article-title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","author":"qi","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2015.06.008"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2009.5457637"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.336"}],"event":{"name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","start":{"date-parts":[[2021,11,26]]},"location":"Shanghai, China","end":{"date-parts":[[2021,11,28]]}},"container-title":["2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9664973\/9664984\/09665142.pdf?arnumber=9665142","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:56:49Z","timestamp":1652201809000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9665142\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,26]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/m2vip49856.2021.9665142","relation":{},"subject":[],"published":{"date-parts":[[2021,11,26]]}}}