Computerized caricature
From The Art and Popular Culture Encyclopedia
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There have been efforts to produce caricatures automatically or semi-automatically using computer graphics techniques. There are very few software programs designed specifically for automatically creating caricatures.
An interesting aspect of some computer graphic systems is that by necessity they require quite different skillsets to caricatures created on paper. Thus using a computer in the digital production of caricatures requires advanced knowledge of the program's functionality. Rather than being a simpler method of caricature creation, it can be a more complex method of creating images that feature finer coloring textures than can be created using more traditional methods.
A milestone in formally defining caricature was Susan Brennan's master's thesis in 1982. In her system, caricature was formalized as the process of exaggerating differences from a mean face. For example, if Prince Charles has more prominent ears than the average person, in his caricature the ears will be much larger than normal. Brennan's system implemented this idea in a partially automated fashion as follows: the operator was required to input a frontal drawing of the desired person having a standardized topology (the number and ordering of lines for every face). She obtained a corresponding drawing of an average male face. Then, the particular face was caricatured simply by subtracting from the particular face the corresponding point on the mean face (the origin being placed in the middle of the face), scaling this difference by a factor larger than one, and adding the scaled difference back on to the mean face.
Though Brennan's formalization was introduced in the 1980s, it remains relevant in recent work. Mo et al. refined the idea by noting that the population variance of the feature should be taken into account. For example, the distance between the eyes varies less than other features such as the size of the nose. Thus even a small variation in the eye spacing is unusual and should be exaggerated, whereas a correspondingly small change in the nose size relative to the mean would not be unusual enough to be worthy of exaggeration. Leopold et al. found that individual face-recognizing neurons in the inferotemporal cortex respond more strongly to caricatured faces than to the veridical representations of the same face, and suggest that the visual brain may code faces relative to a prototypical face, consistent with Brennan's formalization.
Some, on the other hand, argue that caricature varies depending on the artist and cannot be captured in a single definition. Their system uses machine learning techniques to automatically learn and mimic the style of a particular caricature artist, given training data in the form of a number of face photographs and the corresponding caricatures by that artist. The results produced by computer graphic systems are arguably not yet of the same quality as those produced by human artists. For example, most systems are restricted to exactly frontal poses, whereas many or even most manually produced caricatures (and face portraits in general) choose an off-center "three-quarters" view. Brennan's caricature drawings were frontal-pose line drawings. More recent systems can produce caricatures in a variety of styles, including direct geometric distortion of photographs.
In a lecture titled The History and Art of Caricature (Sept 2007 Queen Mary 2 Lecture theatre), the British caricaturist Ted Harrison said that the caricaturist can choose to either mock or wound the subject with an effective caricature. Drawing caricatures can simply be a form of entertainment and amusement - in which case gentle mockery is in order, or the art can be employed to make a serious social or political point. A caricaturist draws on (1) the natural characteristics of the subject (the big ears, long nose or whatever); (2) the acquired characteristics (stoop, scars, facial lines etc); and (3) the vanities (choice of hair style, spectacles, clothes, expressions and mannerisms).
