Determining Depth from Structured Light Using Trained Classifiers

• Main Authors: Tankovich Vladimir, Rhemann Christoph, Fanello Sean Ryan Francesco, KIM David, Izadi Shahram, Kowdle Adarsh Prakash Murthy
• Format: Patent
• Language: English
• Published: 17.08.2017
• Subjects: CALCULATING; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

Techniques for determining depth for a visual content item using machine-learning classifiers include obtaining a visual content item of a reference light pattern projected onto an object, and determining shifts in locations of pixels relative to other pixels representing the reference light pattern...