Detecting Human Face with Ridge-Valley-Normal Model

• Main Author: Lam Thanh Hien, Do Nang Toan, Ha Manh Toan
• Format: Book Book chapter Dataset
• Published: ĐHQGHN 2016
• Subjects: Human Face, Ridge Valley Characteristics, Facial Normal, S lant A ngle, Facial F eatures
• Online Access: http://repository.vnu.edu.vn/handle/VNU_123/10939
• Institution: Vietnam National University, Hanoi

Detecting human face has been a popular but complex research topic which has successfully attracted the special attention of academic scholars and experts due to its widespread applications in practice. However, several existing methods fail to work with large -slanting angles of faces. To overcome such drawback, this study further develops the application of the ridge & valley characteristics on human face and incorporates them with the well- kno wn facial normal model to effectively detect human face. Our proposed algorithm consists of two consecutive phases namely “learning phase” and “detecting phase”. It is found effective in the experimental test with a data set with numerous images collected from different sources. Moreover, the novel searching procedure not only results in a new set of faces but also displays an examined face corresponding to which face model, from which the actual direction of human face detected can be easily calculated.