The ways in which we move our faces and bodies are the source of much biologically important information. Such movements can be exaggerated by extending techniques developed for static facial caricature into the temporal domain. Spatial exaggeration of movement is accomplished by first time-normalising the sequences to be exaggerated and then exaggerating the differences between individual frames and an average frame. We can also exaggerate the temporal properties of movement by reversing and extrapolating the time-normalisation step. Previous findings from a variety of domains where exaggeration has been shown to enhance the perception of task-relevant information are reviewed, together with new data showing that spatial exaggeration of em...
Facial affect is central to many VMC & affective computing applications, which often compress mo...
Facial affect (or emotion) recognition is a central issue for many VMC and naturalistic computing ap...
ABSTRACT—Most studies investigating the recognition of facial expressions have focused on static dis...
Exaggeration techniques are an excellent tool for investigating the representation of complex visual...
Caricature effects (=recognition advantage for slightly caricatured stimuli) have been robustly esta...
It is well established that there is a recognition advantage for slightly caricatured versions of st...
We examined how the recognition of facial emotion was influenced by manipulation of both spatial and...
Benson & Perrett's (1991 b) computer-based caricature procedure was used to alter the positions ...
The physical differences between facial expressions (e.g. fear) and a reference norm (e.g. a neutral...
Most studies investigating the recognition of facial expressions have focused on static displays of ...
This paper focuses on the identication and on the perception of facial action units displayed alone ...
Common guidelines followed in the animation community include the idea that cartoon characters shoul...
Something akin to motion perception occurs when actual motion is not present but implied. However, i...
A great deal of perceptual and social information is conveyed by facial motion. Here, we investigate...
In the current study we examined whether timeline-reversals and emotional direction of dynamic facia...
Facial affect is central to many VMC & affective computing applications, which often compress mo...
Facial affect (or emotion) recognition is a central issue for many VMC and naturalistic computing ap...
ABSTRACT—Most studies investigating the recognition of facial expressions have focused on static dis...
Exaggeration techniques are an excellent tool for investigating the representation of complex visual...
Caricature effects (=recognition advantage for slightly caricatured stimuli) have been robustly esta...
It is well established that there is a recognition advantage for slightly caricatured versions of st...
We examined how the recognition of facial emotion was influenced by manipulation of both spatial and...
Benson & Perrett's (1991 b) computer-based caricature procedure was used to alter the positions ...
The physical differences between facial expressions (e.g. fear) and a reference norm (e.g. a neutral...
Most studies investigating the recognition of facial expressions have focused on static displays of ...
This paper focuses on the identication and on the perception of facial action units displayed alone ...
Common guidelines followed in the animation community include the idea that cartoon characters shoul...
Something akin to motion perception occurs when actual motion is not present but implied. However, i...
A great deal of perceptual and social information is conveyed by facial motion. Here, we investigate...
In the current study we examined whether timeline-reversals and emotional direction of dynamic facia...
Facial affect is central to many VMC & affective computing applications, which often compress mo...
Facial affect (or emotion) recognition is a central issue for many VMC and naturalistic computing ap...
ABSTRACT—Most studies investigating the recognition of facial expressions have focused on static dis...