{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T23:41:44Z","timestamp":1660520504766},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,8,10]],"date-time":"2022-08-10T00:00:00Z","timestamp":1660089600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,10]]},"abstract":"<jats:p>This study extends the application field of VR technology, and studies on the physical image problem of inventory management in ERP immersive experiment under VR technology, using the SSD block matching algorithm and the panoramic image in-depth information extraction algorithm to extract the two-dimensional in-depth information in the panoramic images. Then we reconstructed the object in 3D. The results show that the image reconstructed in 3D is clearer, more stereoscopic, and interactive, which solve the problems of low resolution, distortion, and low interaction in ERP virtual teaching environment, while using multimedia and camera roaming to enhance students\u2019 immersive experience, achieve high-precision, real scene, better virtual teaching environment interaction. It can be seen that the immersive ERP experiment based on VR technology is conducive to improving students \u2019professional ability and docking ability, as well as improving students\u2019 overall cognitive ability and operation ability of the ERP system.<\/jats:p>","DOI":"10.3233\/faia220103","type":"book-chapter","created":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T23:21:50Z","timestamp":1660519310000},"source":"Crossref","is-referenced-by-count":0,"title":["Immersive ERP Experiment Based on 3D-Reconstruction Model of Panoramic Images"],"prefix":"10.3233","author":[{"given":"Weibo","family":"Huang","sequence":"first","affiliation":[{"name":"Network and Information Center, Experimental Teaching Center, Guangdong University of Foreign Studies, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Runlong","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Finance, Guangdong University of Foreign Studies, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuying","family":"Kong","sequence":"additional","affiliation":[{"name":"School of Economics and Trade, Guangdong University of Foreign Studies, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Modern Management based on Big Data III"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220103","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T23:21:51Z","timestamp":1660519311000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220103"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,10]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220103","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,10]]}}}