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Proceedings Paper

Facial morphe via domain translation and FM2RLS
Author(s): Wei Zhang; Huabing Zhou
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Paper 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.

Paper Details

Date Published: 14 February 2020
PDF: 7 pages
Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 114301R (14 February 2020); doi: 10.1117/12.2541787
Show Author Affiliations
Wei Zhang, Wuhan Institute of Technology (China)
Huabing Zhou, Wuhan Institute of Technology (China)


Published in SPIE Proceedings Vol. 11430:
MIPPR 2019: Pattern Recognition and Computer Vision
Nong Sang; Jayaram K. Udupa; Yuehuan Wang; Zhenbing Liu, Editor(s)

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