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This paper presents a template-based facial caricature generation approach. Since the major difficulty in generating facial caricature automatically is the uniqueness of individuals and the polymorphism of features, a modified Active Shape Model (ASM) is first designed to locate key feature points accurately by using 2D local grey-level structures. Then,(More)
A novel over-exposure image correction algorithm combining synthesized texture information in over-exposed regions is presented. In this algorithm, intensity image is decomposed into structure and detail layers by weighted least squares method. Modified exemplar-based texture synthesis method is applied to the detail layer in order to synthesize texture(More)
This paper presents a hierarchical decomposition model for frontal face caricature generation. The proposed model represents facial features within the framework of a three-layer parsing tree over multiple resolutions. In the face, facial component and texture structure layers of the model, the CLM (Constrained Local Models) based facial feature(More)
A three-step method for quasi-frontal face caricature generation is presented in the paper. First a CLM (constrained local models) and CQF (convex quadratic fitting) based face alignment approach is utilized to obtain initial locations of key facial features. Then facial components (eyebrow, eye, nose and mouth) are classified respectively into different(More)
Constrained local models (CLMs) recently exhibit superior generic performance in facial feature localization over leading holistic gradient descent methods, such as active appearance models (AAMs). However, due to representing shape variations with a single deterministic PCA (Principal Component Analysis) model, canonical CLMs may suffer inherent drawbacks(More)
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