Reconstruction of Facial Shape from Freehand Multi-viewpoint Snapshots

We propose a method that can reconstruct both a 3D facial shape and camera poses from freehand multi-viewpoint snapshots. This method is based on Active Shape Model (ASM) using a facial shape database. Most ASM methods require an image in which the camera pose is known, but our method does not require this information. First, we choose an initial shape by selecting the model from the database which is most suitable to input images. Then, we improve the model by morphing it to fit the input images. Next, we estimate the camera poses using the morphed model. Finally we repeat the process, improving both the facial shape and the camera poses until the error between the input images and the computed result is minimized. Through experimentation, we show that our method reconstructs the facial shape within 3.5 mm of the ground truth.

• Type: Conference
• Year: 2009
• Where: ISVC
• Authors: Seiji Suzuki, Hideo Saito, Masaaki Mochimaru
• Keywords: Applied Computing, Camera Poses, Facial Shape, Input Images, ISVC 2009