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Designing Frameworks for Automatic Affect Prediction and Classification in Dimensional Space
Published on Aug 24, 20113396 Views
A widely accepted prediction is that computing will move to the background, weaving itself into the fabric of our everyday living spaces and projecting the human user into the foreground. To realize t
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Chapter list
Facial Behaviour Understanding by i•BUG00:00
Point 1 - Temporal Analysis matters (1)00:41
Point 2 - Acted vs Spontaneous (1)00:57
Point 3 - Continuous Multi-dimensional Space (1)01:25
Point 4 - Prediction rather than Fusion (1)01:59
Behavioural Computing: Applications02:20
Machine Understanding of Human Behaviour03:20
Facial Expression Recognition (1)04:37
Face Detection and Tracking05:41
Facial Points Detection (1)06:55
Facial Points Detection (2)08:52
Facial Points Tracking10:40
Facial Expression Recognition (2)12:18
Facial Expression Recognition - AUs (1)12:59
Facial Expression Recognition - AUs (2)14:37
Point 1 - Temporal Analysis matters (2)14:51
Facial Expression Recognition (3)15:10
Facial Expression Recognition - AUs (3)15:16
Facial Expression Recognition - AUs (4)16:06
Facial Expression Recognition - AUs (5)16:35
Facial Expression Recognition (4)17:33
Result Sample18:53
Facial Expression Recognition - AUs (6)20:03
Point 2 - Acted vs Spontaneous (2)21:09
Facial Expressions - Dynamics21:33
Facial Expression Recognition - Dynamics22:54
Acted vs. Spontaneous Facial Behaviour - Dynamics23:57
Point 3 - Continuous Multi-dimensional Space (2)25:13
Human Behaviour Understanding - Affect (1)25:37
Human Behaviour Understanding - Affect (2)27:24
Human Behaviour Understanding - Affect (3)28:16
Human Behaviour Understanding - Affect (4)29:32
Point 4 - Prediction rather than Fusion (2)29:37