MobiDepth
Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Ting Cao, Yuanchun Li, Yaoxue Zhang, Yunxin Liu
2022Proceedings of the 28th Annual International Conference on Mobile Computing And Networking23 citationsDOIOpen Access PDF
Abstract
Real-time depth estimation is critical for the increasingly popular augmented reality and virtual reality applications on mobile devices. Yet existing solutions are insufficient as they require expensive depth sensors or motion of the device, or have a high latency. We propose MobiDepth, a real-time depth estimation system using the widely-available on-device dual cameras. While binocular depth estimation is a mature technique, it is challenging to realize the technique on commodity mobile devices due to the different focal lengths and unsynchronized frame flows of the on-device dual cameras and the heavy stereo-matching algorithm.
Topics & Concepts
Augmented realityComputer scienceComputer visionMobile deviceArtificial intelligenceVirtual realityFrame rateFrame (networking)Computer graphics (images)TelecommunicationsOperating systemAdvanced Vision and ImagingRobotics and Sensor-Based LocalizationImage Processing Techniques and Applications