What is the between facial action unit and facial landmark differences ? Solution There is a difference between the facial action unit and facial landmark. The difference can be illustrated as follows: FACIAL ACTION UNIT: Humans interact far more naturally with each other tahn they do with machines. To approach the naturalness of face-to-face human interaction machines should be able to emulate the way humans communicate with each other. Although speech alone is often sufficient for communicating with another person, non-verbal communicative cues can help to synchronize the dialogue, to signal comprehensionor disagreement and to let the dialogue run smoother, with less interruptions. With facial expresssions we clarify what is said by means of lip-reading, we stress the importance of the spoken message by means of conversational signals like raisisng eyebrows, and siognal comprehension,disagrreement,boredom and intensions. Machine understanding of facial expressions could revolutionize user interfaces including ambient,automotiveand robot interfaces and has become,therefore,a hot topic in computer-vision approach. FACIAL LANDMARK: Localizing facial landmarks (i.e facial alignment) is a fundamental step in facial image analysis. However, the problem is still challenging due to the large variability in pose and appearence, and the existence of occlusions in real-world face images. EGM (Exemplar-based graph matching) framework is used in the facial landmark localization.Compared to conventional algorithms, EGM has three advantages:.

1. What is the between facial action unit and facial landmark differences ?
Solution
There is a difference between the facial action unit and facial landmark.
The difference can be illustrated as follows:
FACIAL ACTION UNIT:
Humans interact far more naturally with each other tahn they do with machines. To approach the
naturalness of face-to-face human interaction machines should be able to emulate the way
humans communicate with each other. Although speech alone is often sufficient for
communicating with another person, non-verbal communicative cues can help to synchronize the
dialogue, to signal comprehensionor disagreement and to let the dialogue run smoother, with less
interruptions. With facial expresssions we clarify what is said by means of lip-reading, we stress
the importance of the spoken message by means of conversational signals like raisisng eyebrows,
and siognal comprehension,disagrreement,boredom and intensions.
Machine understanding of facial expressions could revolutionize user interfaces including
ambient,automotiveand robot interfaces and has become,therefore,a hot topic in computer-vision
approach.
FACIAL LANDMARK:
Localizing facial landmarks (i.e facial alignment) is a fundamental step in facial image analysis.
However, the problem is still challenging due to the large variability in pose and appearence, and
the existence of occlusions in real-world face images.
EGM (Exemplar-based graph matching) framework is used in the facial landmark
localization.Compared to conventional algorithms, EGM has three advantages: