A novel pixel based color transition method for 2D image morphing
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Automatic generation of subject-based image transitions
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
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Image warping and morphing are important visual effect tools in entertainment industry and other research fields. We developed a prototypical automatic facial image manipulation system (AFIM) for face morphing and shape normalization (warping). In our AFIM system, there are two main functions: (1) warping a facial image to a target image (face shape normalization), (2) generation of inter- or intrapersonal face by morphing between faces of different people or different faces of an individual. Image morphing is done by mesh warping scheme or multilevel B-spline approximation. The feature points are extracted by using active shape model (automaticextraction) or by manually. As an application, the AFIM is applied to statistical facial texture analysis.We first use AFIM to normalize the face shape in the facial database and then applied principal component analysis (PCA) to the shape-normalized facial images in order to analysis the texture of facial images statistically.