TY - GEN
T1 - Reconstruction of facial shape from freehand multi-viewpoint snapshots
AU - Suzuki, Seiji
AU - Saito, Hideo
AU - Mochimaru, Masaaki
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-642-10520-3_61
DO - 10.1007/978-3-642-10520-3_61
M3 - Conference contribution
AN - SCOPUS:72449141106
SN - 364210519X
SN - 9783642105197
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 641
EP - 650
BT - Advances in Visual Computing - 5th International Symposium, ISVC 2009, Proceedings
T2 - 5th International Symposium on Advances in Visual Computing, ISVC 2009
Y2 - 30 November 2009 through 2 December 2009
ER -