Hong, Yu-Jin Nam, Gi Pyo Choi, Heeseung Cho, Junghyun Kim, Ig-Jae 2024-01-19T11:37:17Z 2024-01-19T11:37:17Z 2022-03-07 2016-07 0302-9743 https://pubs.kist.re.kr/handle/201004/114945 Generating a user-specific 3D face model is useful for a variety of applications, such as facial animation, games or movie industries. Recently, there have been spectacular developments in 3D sensors, however, accurately recovering the 3D shape model from a single image is a major challenge of computer vision and graphics. In this paper, we present a method that can not only acquire a 3D shape from only a single face image but also reconstruct facial expression. To accomplish this, a 3D face database with a variety of identities and facial expressions was restructured as a data array which was decomposed for the acquisition of bilinear models. With this model, we represent facial variances as two kinds of elements: expressions and identities. Then, target face image is fitted to 3D model while estimating its expression and shape parameters. As application example, we transferred expressions to reconstructed 3D models and naturally applied new facial expressions to show the efficiency of the proposed method. English SPRINGER INTERNATIONAL PUBLISHING AG 3-Dimensional Face from a Single Face Image with Various Expressions Conference 10.1007/978-3-319-39862-4_19 1 4th International Conference on Distributed, Ambient and Pervasive Interactions (DAPI) held as part of 18th International Conference on Human-Computer Interaction (HCI International), pp.202 - 209 4th International Conference on Distributed, Ambient and Pervasive Interactions (DAPI) held as part of 18th International Conference on Human-Computer Interaction (HCI International) 202 209 SZ Toronto, CANADA 2016-07-17 DISTRIBUTED, AMBIENT AND PERVASIVE INTERACTIONS, (DAPI 2016) 000389586800019 2-s2.0-84978865106