Key takeaways

• Overview of the main tasks related to face processing (detection, recognition, etc.) and their significance
• Review of computer imagery and its impact on machine learning
• Overview of some computer vision / machine learning methods to tackle face processing
• Prototyping two practical examples building on the contents of the talk (Facebook Photos, Snapchat Filters)

Ever wonder how Facebook’s facial recognition or Snapchat’s filters work? Faces are a fundamental piece of photography, and building applications around them has never been easier with open-source libraries and pre-trained models. In this talk, we’ll help you understand some of the computer vision and machine learning techniques behind these applications. Then, we’ll use this knowledge to develop our own prototypes to tackle tasks such as face detection (e.g. digital cameras), recognition (e.g. Facebook Photos), classification (e.g. identifying emotions), manipulation (e.g. Snapchat filters), and more.