{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T13:40:54Z","timestamp":1762090854663,"version":"build-2065373602"},"reference-count":53,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,29]]},"DOI":"10.1109\/icra48891.2023.10160307","type":"proceedings-article","created":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T17:20:56Z","timestamp":1688491256000},"page":"11794-11801","source":"Crossref","is-referenced-by-count":4,"title":["Semantic Keypoint Extraction for Scanned Animals using Multi-Depth-Camera Systems"],"prefix":"10.1109","author":[{"given":"Raphael","family":"Falque","sequence":"first","affiliation":[{"name":"Robotics Institute, University of Technology,Sidney,Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teresa","family":"Vidal-Calleja","sequence":"additional","affiliation":[{"name":"Robotics Institute, University of Technology,Sidney,Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alen","family":"Alempijevic","sequence":"additional","affiliation":[{"name":"Robotics Institute, University of Technology,Sidney,Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793949"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919891776"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00939"},{"key":"ref4","article-title":"Benchmarking and analyzing point cloud classification under corruptions","author":"Ren","year":"2022","journal-title":"arXiv preprint"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59719-1_64"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2022.xviii.011"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818013"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00385"},{"issue":"1","key":"ref9","first-page":"1","article-title":"Least-squares rigid motion using svd","volume":"1","author":"Sorkine-Hornung","year":"2017","journal-title":"Computing"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IM.2001.924423"},{"journal-title":"How now lame cow: Automatic lameness assessment for dairy cattle with 3d sensors","year":"2020","author":"Gardenier","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/s21030753"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2021.106143"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.2527\/jas2016.1292"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3168\/jds.2013-6568"},{"key":"ref16","article-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space","volume":"30","author":"Qi","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00651"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_29"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58539-6_36"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.586"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00416"},{"key":"ref23","first-page":"5358","article-title":"Three-D safari: Learning to estimate zebra pose, shape, and texture from images \u201cin the wild","volume-title":"International Conference on Computer Vision","author":"Zuffi"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01844"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01240"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2011.01884.x"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185526"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12797"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.603"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/3DV53792.2021.00040"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/2945.817351"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2487228.2487237"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14069"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/1576246.1531377"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/SMI.2010.25"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2012.03178.x"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00426"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2009.01634.x"},{"key":"ref39","first-page":"652","article-title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","author":"Qi"},{"key":"ref40","first-page":"13647","article-title":"Keypointnet: A large-scale 3d keypoint dataset aggregated from numerous human annotations","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"You"},{"key":"ref41","first-page":"546","article-title":"Unsupervised learning of category-specific symmetric 3d keypoints from point sets","volume-title":"European Conference on Computer Vision","author":"Fernandez-Labrador","year":"2020"},{"key":"ref42","first-page":"43","article-title":"Skeleton merger: an unsupervised aligned keypoint detector","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Shi"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3131280"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018505"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00937"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00102"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/b978-1-55860-594-7.x5000-0"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/1409625.1409627"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/2010324.1964973"},{"key":"ref50","first-page":"109","article-title":"As-rigid-as-possible surface modeling","volume":"4","author":"Sorkine","year":"2007","journal-title":"Symposium on Geometry processing"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185573"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/1275808.1276478"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s13218-010-0059-6"}],"event":{"name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","start":{"date-parts":[[2023,5,29]]},"location":"London, United Kingdom","end":{"date-parts":[[2023,6,2]]}},"container-title":["2023 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10160211\/10160212\/10160307.pdf?arnumber=10160307","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T11:36:24Z","timestamp":1709292984000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10160307\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,29]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/icra48891.2023.10160307","relation":{},"subject":[],"published":{"date-parts":[[2023,5,29]]}}}