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Using surface feature analysis under a digital geometry analysis framework, the method employs an interactive feature visualization technique that allows interactive definition, modification and exploration of facial features to provide the best discriminatory power for a given classification problem. OpenGL based surface shading and interactive lighting are employed to generate visual maps of discriminatory features to visually represent the salient differences between labeled classes. This technique will be applied to a medical diagnosis application for Fetal Alcohol Syndrome (FAS) which is known to exhibit certain facial patterns.<\/p>","DOI":"10.4018\/jcini.2011040101","type":"journal-article","created":{"date-parts":[[2011,10,19]],"date-time":"2011-10-19T16:08:40Z","timestamp":1319040520000},"page":"1-16","source":"Crossref","is-referenced-by-count":2,"title":["Interactive Feature Visualization and Detection for 3D Face Classification"],"prefix":"10.4018","volume":"5","author":[{"given":"Jason","family":"McLaughlin","sequence":"first","affiliation":[{"name":"Indiana University-Purdue University, USA"}]},{"given":"Shiaofen","family":"Fang","sequence":"additional","affiliation":[{"name":"Indiana University-Purdue University, USA"}]},{"given":"Sandra W.","family":"Jacobson","sequence":"additional","affiliation":[{"name":"Wayne State University, USA, and University of Cape Town, South Africa"}]},{"given":"H. 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