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Facebook acquires facial image analysis startup FacioMetrics


Facebook has acquired a facial image analysis firm FacioMetrics as it tries to give users new features to add special effects to photos and videos. The technology developed by the startup also includes capabilities for face tracking and recognizing emotions, which could potentially open up other applications for Facebook. The financial terms of the acquisition of FacioMetrics, a startup that was spun off from Carnegie Mellon University, were not disclosed. Facebook will discontinue the products, which are no longer available on app stores.The FacioMetrics website now only has a message about the acquisition. "How people share and communicate is changing and things like masks and other effects allow people to express themselves in fun and creative ways," a Facebook spokesman wrote in an email Wednesday.

Facebook buys facial recognition tech startup


Facebook said that it has bought facial recognition startup FacioMetrics, potentially using the technology for photo or video effects to better challenge rival Snapchat. "How people share and communicate is changing and things like masks and other effects allow people to express themselves in fun and creative ways," a Facebook spokesperson said in an email reply to an AFP inquiry. "We're excited to welcome the FacioMetrics team who will help bring more fun effects to photos and videos and build even more engaging sharing experiences on Facebook." Silicon Valley-based Facebook did not disclose financial terms of the deal to buy FacioMetrics, which was spun out of Carnegie Mellon University in Pennsylvania. FacioMetrics was founded in 2015 and specializes in using artificial intelligence to give facial image analysis capabilities to applications that run on smartphones.

Say cheese: Facebook has just snapped up this facial recognition company


Facebook has boosted its face recognition capabilities with the acquisition of startup FacioMetrics. FacioMetrics uses facial image analysis to determine emotions, and is aimed at sectors including gaming, healthcare, augmented reality and robotics. Fernando De la Torre, founder and CEO of FacioMetrics said the company was formed to cater for the increasing interest in and demand for facial image analysis, with applications including augmented/virtual reality, animation and audience reaction measurement. The technology comes out of research at Carnegie Mellon University into developing computer vision and machine learning algorithms for facial image analysis. "Over time, we have successfully developed and integrated this cutting-edge technology into battery-friendly and efficient mobile applications, and also created new applications of this technology," said De la Torre.

Facebook's acquisition will enhance its Snapchat-like filters


Facebook has snapped up a facial recognition startup to help it win the war it waged against Snapchat. The social network has acquired FacioMetrics, a Carnegie Mellon University spinoff that developed a few face detection apps, including one that can recognize seven different emotions in human faces. Those applications are no longer available in any app store. A Facebook spokesperson told TechCrunch that the company plans to use the startup's technology to enhance its Snapchat-like AR filters for Facebook videos and Live broadcasts. It could lead to new AR masks, new special effects and even new ways to trigger their animations.

Let's face-off on Facebook


Who knows in future you may be able to emote to your friend's FB posts in your own wide mouthed haha, open mouthed wow or a puckered brow frown? Going by the indications, things are inching towards such a reality. Facebook's latest acquisition – of a face recognition company FacioMetrics -- has become the talk of the tech town regarding the possibilities of inclusion of facial gesture controls on the app front. Close on the heels of this merger, this startup's apps have been withdrawn from the App Store and Play Store. 'Intraface', the facial image analysis app from Faciometrics could enable detection of seven facial emotions.