{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:18:02Z","timestamp":1740169082141,"version":"3.37.3"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2017YFB0503701"],"award-info":[{"award-number":["2017YFB0503701"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2874205","type":"journal-article","created":{"date-parts":[[2018,10,8]],"date-time":"2018-10-08T22:57:22Z","timestamp":1539039442000},"page":"58574-58586","source":"Crossref","is-referenced-by-count":3,"title":["A Smart Post-Rectification Algorithm Based on an ANN Considering Reflectivity and Distance for Indoor Scenario Reconstruction"],"prefix":"10.1109","volume":"6","author":[{"given":"Jichao","family":"Jiao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1793-6318","authenticated-orcid":false,"given":"Libin","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongliang","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weihua","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Jiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"159","article-title":"Data-driven depth map refinement via multi-scale sparse representation","author":"kwon","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.35"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"67640w","DOI":"10.1117\/12.752808","article-title":"Calibration of the intensity-related distance error of the PMD ToF-camera","volume":"6764","author":"lindner","year":"2007","journal-title":"Proc SPIE"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2015.03.042"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICAR.2015.7251485"},{"article-title":"3D reconstruction using Kinect v2 camera","year":"2016","author":"valgma","key":"ref30"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.204"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.186"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2015.2508802"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2009.11.002"},{"journal-title":"Optimizing Point Cloud Production From Stereo Photos by Tuning the Block Matcher","year":"2018","author":"lee","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/rs9010092"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2015.7177380"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2015.05.006"},{"journal-title":"Microsoft Kinect Accessed","year":"2017","key":"ref13"},{"journal-title":"Asus Asus Xtion Pro Accessed","year":"2017","key":"ref14"},{"journal-title":"Occipital Structure Sensor","year":"2017","key":"ref15"},{"journal-title":"Intel Realsense","year":"2017","key":"ref16"},{"journal-title":"Kinect for Xbox ONE","year":"2017","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-30973-6_2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2015.2459139"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1007\/978-3-319-29363-9_14","article-title":"Visual odometry and mapping for autonomous flight using an RGB-D camera","author":"huang","year":"2017","journal-title":"Robotics Research"},{"key":"ref28","first-page":"34","article-title":"Comparison of Kinect v1 and v2 depth images in terms of accuracy and precision","author":"wasenm\u00fcller","year":"2016","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eja.2014.01.004"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.07.020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICAR.2017.8023499"},{"journal-title":"Semanticfusion Dense 3d semantic mapping with convolutional neural networks","year":"2016","author":"mccormac","key":"ref5"},{"article-title":"Depth data processing and 3D reconstruction using the Kinect v2","year":"2015","author":"lawin","key":"ref29"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2006.282349"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"2165","DOI":"10.1016\/j.ijleo.2015.11.147","article-title":"3D reconstruction of building facade with fused data of terrestrial LiDAR data and optical image","volume":"127","author":"yang","year":"2016","journal-title":"Optik–Int J Light Electron Opt"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-016-0375-7"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.5194\/isprsarchives-XL-5-W4-93-2015"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi6110349"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANS.2014.7003084"},{"journal-title":"RGB-D SLAM Dataset and Benchmark","year":"2018","author":"sturm","key":"ref46"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2013.2279412"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/s151127569"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/rs71013070"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.52"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2329776"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ISDA.2010.5687280"},{"journal-title":"Tools for Using the Kinect One (Kinect v2) in ROS","year":"2017","author":"wiedemeyer","key":"ref23"},{"key":"ref41","first-page":"34","article-title":"Comparison of Kinect v1 and v2 depth images in terms of accuracy and precision","author":"wasenm\u00fcller","year":"2016","journal-title":"Proc Asian Conf Comput Vis Workshop (ACCV Workshop)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2388434"},{"journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition","year":"2014","author":"simonyan","key":"ref44"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2307478"},{"journal-title":"Calibrating the Kinect Depth Camera to the Built-in RGB Camera","year":"2018","key":"ref43"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08485320.pdf?arnumber=8485320","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T21:53:48Z","timestamp":1643234028000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8485320\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2874205","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2018]]}}}