"facial expression by" is a correct and usable phrase in written English.
It is typically used to describe the act of conveying emotion or meaning through one's facial appearance. This phrase is often used in conjunction with verbs such as "convey," "display," or "show." Example: The actor's powerful performance was highlighted by his expert use of facial expressions to convey the character's inner turmoil.
The actors who have to use sim-com lose their facial expression by having to speak.
Somehow or other, if not directly by his words then by his facial expression, by his tone of voice, by his impatience... he will always talk to you as though you are dumb, and then, if you're not, he will be astonished".
GLTP is used to encode the local texture of a facial expression by calculating the gradient magnitudes of local neighbourhoods within the image and quantizing the values into three different discrimination levels.
In the paper by Romera-Paredes [97], a multi-task transfer learning approach is used to predict pain levels from an individual's facial expression by using labeled source facial images from other individuals.
Caesar tells me he has maybe ten or twelve character studies with twenty variations of faces that he resuses, sometimes altering their facial expression by changing the shapes of their noses, morphing smiles with frowns, but he says that somehow, they always return to a look of serenity.
Inducing a smiling facial expression by holding a pen between the teeth led to an increase in general well-being (behavioural sample) and to an increase in error rate accompanied by a reduction of the error-related negativity (ERN), a prominent neurophysiological marker of performance monitoring.
At each time window, we first computed an F test of the three-way interaction of group-by-facial-expression-by-orientation across the 2D interpolated images.
At the same time, another puppeteer mimics the actor's facial expressions by using a special joystick.
But the animators Martin Meunier and Brian McLean worked with Mr. Selick to adapt the technology, coming up with a wide variety of facial expressions by computer, then printing them out to be applied to the heads of the models.
Many researchers have tried to analyze facial expressions by using the distribution of facial features as input of a classification system in order to recognize expressions.
Pighin et al. [16] present another 3D model-based facial animation system, which can synthesize facial expressions by morphing static 3D models with textures.
