A facial expression database is a collection of images or video clips with facial expressions of a range of emotions. Well-annotated emotion -tagged media content of facial behavior is essential for training, testing, and validation of algorithms for the development of expression recognition systems. The emotion annotation can be done in discrete emotion labels or on a continuous scale.
When benchmarking an algorithm it is recommendable to use a standard test data set for researchers to be able to directly compare the results. While there are many databases in use currently, the choice of an appropriate database to be used should be made based on the task given aging, expressions, lighting etc. Another way is to choose the data set specific to the property to be tested e.
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The freshest trend in the social media circle is live face filters. Face filters have been infused into a number of popular apps such as Instagram and Facebook. However, at the end of the day, not every photo is meant for the social media.
User can animate with sliders, joysticks and keypads. Similiar to Dj equipment or a game controller. MocapX runs on every iPhone and tablet with iOS