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Second, we propose an evaluation criterion using Linear Discriminative Analysis to choose the best local feature descriptions which plays a critical role in feature points detection. Third, we take advantage of multicore architecture of mobile terminal and parallelize the optimized SDM algorithm to improve the efficiency further. The experiment observations show that our final accomplished GPC\u2010SDM (improved Supervised Descent Method using spectrum clustering, PCA, and GPU acceleration) suppresses the memory usage, which is beneficial and efficient to meet the real\u2010time requirements.<\/jats:p>","DOI":"10.1155\/2018\/9729014","type":"journal-article","created":{"date-parts":[[2018,2,25]],"date-time":"2018-02-25T23:32:35Z","timestamp":1519601555000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Research on Fast Face Feature Points Detection on Smart Mobile Devices"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8013-6677","authenticated-orcid":false,"given":"Xiaohe","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingming","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4474-838X","authenticated-orcid":false,"given":"Haoxiang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2018,2,25]]},"reference":[{"key":"e_1_2_8_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2764259"},{"volume-title":"A Survey on Mobile Social Networks: Applications, Platforms, System Architectures, and Future Research Directions , IEEE Communications Surveys Tutorials","year":"2015","author":"Hu X.","key":"e_1_2_8_2_2"},{"key":"e_1_2_8_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/tetc.2013.2273359"},{"key":"e_1_2_8_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2014.6829948"},{"volume-title":"An Empirical Study of Recent Face Alignment Methods","year":"2015","author":"Heng Y.","key":"e_1_2_8_5_2"},{"key":"e_1_2_8_6_2","doi-asserted-by":"crossref","unstructured":"XiongX.andDe la TorreF. 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