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In this work, we use facial landmarks to make the deformation for facialimages more authentic. The deformation includes the expansion of eyes and theshrinking of noses, mouths, and cheeks. An advanced 106-point facial landmarkdetector is utilized to provide control points for deformation. Bilinearinterpolation is used in the expansion and Moving Least Squares methods (MLS)including Affine Deformation, Similarity Deformation and Rigid Deformation areused in the shrinking. We compare the running time as well as the quality ofdeformed images using different MLS methods. The experimental results show thatthe Rigid Deformation which can keep other parts of the images unchangedperforms better even if it takes the longest time.

Facial Image Deformation Based on Landmark Detection