A generating method of stylized portraits based on the triangle coordinate system is proposed to solve the problem of the dependence on training samples and the high complexity of the existing algorithms
and to realize application in quasi real-time systems. The proposed algorithm automatically extracts the features of an input face and calculates the personalized facial characteristics by comparing the features with those of the reference face. Then features of its stylized portrait are determined by exaggerating the personalized facial characteristics. Two triangle coordinate systems are established based on the features of the input face and the stylized portrait respectively
and the stylized portrait is generated by image morphing between these two systems. The algorithm does not need training samples
and is simple
automatic
flexible and predictable
and it can quickly generate stylized portraits. Experimental results show that the algorithm automatically extracts and exaggerates personalized facial characteristics of an input face
and produces a vivid stylized portrait in less than 0.5 second. The algorithm has good comprehensive performance
and can be applied to the systems of quasi real-time virtual reality
augmented reality
and portrait rendering robots.
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references
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