S. Brennan (1985, Leonardo, 18, 170-178) has developed a computer-implemented caricature generator based on a holistic theory of caricature. A face is represented by 37 lines, based on a fixed set of 169 points. Caricatures are produced by exaggerating all metric differences between a face and a norm. Anticaricatures can be created by reducing all the differences between a face and a norm. Cari...

Hair is a salient feature in human face region and are one of the important cues for face analysis. Accurate detection and presentation of hair region is one of the key components for automatic synthesis of human facial caricature. In this paper, an automatic hair detection algorithm for the application of automatic synthesis of facial caricature based on a single image is proposed. Firstly, ha...

Facial caricatures exaggerate key features to emphasize unique structural and personality traits. It is quite a challenge to retain the identity of the original person despite the exaggerations. We find that primitive shapes are well known for representing certain personality traits, in art and psychology literature. Unfortunately, current automated caricature generation techniques ignore the r...

Although regeneration-competent newts like Notophthalmus viridescens have been reported to be resistant to carcinogenesis, we have been able to induce transplantable epidermal squamous cell carcinomas with 10-20% incidence by implanting 20-methylcholanthrene s.c. into the scapular region, a tissue that cannot regenerate. As soon as 1 week after exposure to this carcinogen, malignant cells were ...

Using a crossover recognition memory testing paradigm, we tested whether the effects on face recognition of the memorability component of face typicality (Vokey & Read, 1992, 1995) are due primarily to the encoding process occurring during study or to the retrieval process occurring at test. At study, faces were either veridical in form or at moderate (Experiment 1) or extreme (Experiment 2) le...

Recently, image-to-image translation has been made much progress owing to the success of conditional Generative Adversarial Networks (cGANs). However, it’s still very challenging for translation tasks with the requirement of high-level visual information conversion, such as phototo-caricature translation that requires satire, exaggeration, lifelikeness and artistry. We present an approach for l...

We developed a system for automatic generation of caricatures by analyzing unique facial features of the subject. The proposed face model contains 119 parameters derived from the MPEG-4 standard. These nodes are categorized into 8 groups with a pre-defined hierarchy to guide the placement of face components after shape exaggeration. Given an input image, the system determines which and how the ...

Caricature generation aims to translate real photos into caricatures with artistic styles and shape exaggerations while maintaining the identity of subject. Different from generic image-to-image translation, drawing automatically is a more challenging task due existence various spatial deformations. Previous caricature methods are obsessed predicting definite image warping given photo ignoring ...