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One is inaccurate registration caused by symmetrical distribution of head feature points, and the other is economic burden due to high-accuracy sensors. Research on 3D reconstruction with portable consumer RGB-D sensors such as the Microsoft Kinect has been highlighted in recent years. Based on our multi-Kinect system, a precise and low-cost three-dimensional modeling method and its system implementation are introduced in this paper. A registration method for multi-source point clouds is provided, which can reduce the fusion differences and reconstruct the head model accurately. In addition, a template-based texture generation algorithm is presented to generate a fine texture. The comparison and analysis of our experiments show that our method can reconstruct a head model in an acceptable time with less memory and better effect. <\/jats:p>","DOI":"10.1142\/s1793962320500610","type":"journal-article","created":{"date-parts":[[2020,9,8]],"date-time":"2020-09-08T15:13:20Z","timestamp":1599578000000},"page":"2050061","source":"Crossref","is-referenced-by-count":1,"title":["3D reconstruction of human head based on consumer RGB-D sensors"],"prefix":"10.1142","volume":"11","author":[{"given":"Zihan","family":"Liu","sequence":"first","affiliation":[{"name":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanghong","family":"Gong","sequence":"additional","affiliation":[{"name":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, P. R. 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