Facial morphe via domain translation and FM2RLS

Wei Zhang; Huabing Zhou

doi:10.1117/12.2541787

14 February 2020 Facial morphe via domain translation and FM²RLS

Wei Zhang, Huabing Zhou

Proceedings Volume 11430, MIPPR 2019: Pattern Recognition and Computer Vision; 114301R (2020) https://doi.org/10.1117/12.2541787
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

In this paper, we present a novel approach for face morphe. We use a recent domain transfer technique to generate target expression and combine a robust image deformation technique to obtain high realistic facial morphe. We addressed the facial morphe problem through three steps. Firstly, Domain transfer technique is introduced to transfer an image from one domain to another. Secondly, use a face alignment algorithm to locate accurate facial landmark points for both domain transferred face and target face, then align them with a global similarity transformation to eliminate their inconsistency in pose, size and position. Then we employ the FM2RLS method to deform the domain transferred face into the target image, let the images pairs align in pixel level. To validate the effectiveness of the proposed approach, extensive experiments on real images shows accurate results of our method, which is superior to the current state-of-the-art methods.

Citation Download Citation

Wei Zhang and Huabing Zhou "Facial morphe via domain translation and FM²RLS", Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 114301R (14 February 2020); https://doi.org/10.1117/12.2541787

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