Facial micro-expressions are spontaneous, subtle,
involuntary muscle movements occurring briefly on the face. The
spotting and recognition of these expressions are difficult due to
the subtle behavior, and the time duration of these expressions
is about half a second, which makes it difficult for humans to
identify them. These micro-expressions have many applications in
our daily life, such as in the field of online learning, game playing,
lie detection, and therapy sessions. Traditionally, researchers use
RGB images/videos to spot and classify these micro-expressions,
which pose challenging problems, such as illumination, privacy
concerns and pose variation. The use of depth videos solves these
issues to some extent, as the depth videos are not susceptible to
the variation in illumination. This paper describes the collection
of a first RGB-D dataset for the classification of facial microexpressions
into 6 universal expressions: Anger, Happy, Sad,
Fear, Disgust, and Surprise. This paper shows the comparison
between the RGB and Depth videos for the classification of facial
micro-expressions. Further, a comparison of results shows that
depth videos alone can be used to classify facial micro-expressions
correctly in a decision tree structure by using the traditional and
deep learning approaches with good classification accuracy. The
dataset will be released to the public in the near future.

Depth Videos for the Classification of Micro-Expressions

PS T2.1: Biometrics and Human Analysis

poster

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the **ICPR 2020** Conference, there are 1407 Oral/Poster presentations organized in five Tracks: 
- Artificial Intelligence, Machine Learning for Pattern Analysis; 
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The **ICPR 2020** Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR 2020 program. 


Ankith Jain Rakesh Kumar

1

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Depth Videos for the Classification of Micro-Expressions

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