We transform 'unknown pixels' into 'meaningful pixels'.
From Amazon and Facebook to Google and Microsoft, leaders of the world’s most influential technology firms are highlighting their enthusiasm for Artificial Intelligence (AI). But what is AI? Why is it important? And why now?
If we want to write a computer program that identifies images of cars, for example, we can’t specify the features of a car for an algorithm to process that will enable correct identification in all circumstances. Cars come in a wide range of shapes, sizes, and colors. Their position, orientation, and pose can differ. Background, lighting and myriad other factors impact the appearance of the object. There are too many variations to write a set of rules. Even if we could, it wouldn’t be a scalable solution. We’d need to write a program for every type of object we wanted to identify.
An image contains thousands or even millions of pixels. Scientifically, we first study the meaning of each pixel and 'group' them into 'common-areas-of-interests'. By doing this, we can bring our human-knowledge into machines (computers) to let computers think and make corresponding decisions of pixels.
Face recognition has received significant attention because of its numerous applications in access control, law enforcement, security, surveillance, internet communication and computer entertainment. Although significant progress has been made, the state-of-the-art face recognition systems yield satisfactory performance only under controller scenarios and they degrade significantly when confronted with real-world scenarios.