{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T13:57:09Z","timestamp":1764079029694,"version":"3.41.2"},"reference-count":20,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2014,3,11]],"date-time":"2014-03-11T00:00:00Z","timestamp":1394496000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,3,11]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 The authors aim to propose a novel plane extraction algorithm for geometric 3D indoor mapping with range scan data. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 The proposed method utilizes a divide-and-conquer step to efficiently handle huge amounts of point clouds not in a whole group, but in forms of separate sub-groups with similar plane parameters. This method adopts robust principal component analysis to enhance estimation accuracy. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 Experimental results verify that the method not only shows enhanced performance in the plane extraction, but also broadens the domain of interest of the plane registration to an information-poor environment (such as simple indoor corridors), while the previous method only adequately works in an information-rich environment (such as a space with many features). <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 The proposed algorithm has three advantages over the current state-of-the-art method in that it is fast, utilizes more inlier sensor data that does not become contaminated by severe sensor noise and extracts more accurate plane parameters.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/ir-04-2013-347","type":"journal-article","created":{"date-parts":[[2014,3,19]],"date-time":"2014-03-19T09:51:29Z","timestamp":1395222689000},"page":"203-212","source":"Crossref","is-referenced-by-count":18,"title":["Robust-PCA-based hierarchical plane extraction for application to geometric 3D indoor mapping"],"prefix":"10.1108","volume":"41","author":[{"given":"Suyong","family":"Yeon","sequence":"first","affiliation":[]},{"given":"ChangHyun","family":"Jun","sequence":"additional","affiliation":[]},{"given":"Hyunga","family":"Choi","sequence":"additional","affiliation":[]},{"given":"Jaehyeon","family":"Kang","sequence":"additional","affiliation":[]},{"given":"Youngmok","family":"Yun","sequence":"additional","affiliation":[]},{"given":"Nakju","family":"Lett Doh","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2021010222293476400_b1","doi-asserted-by":"crossref","unstructured":"B\u0119dkowski, J.\n , \n Maslowski, A.\n and 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