Abstract
3-D red, green, blue, and depth (RGB-D) and 3-D
perception are essential information for 3-D applications such as
autonomous driving and augmented reality (AR)/virtual reality
(VR) systems. However, battery- and resource-limited mobile
devices face difficulties in obtaining dense RGB-D data and
3-D perception information in low-power (LP) and real-time.
Specifically, an RGB-D sensor is used to acquire 3-D RGB-D
data, but it consumes high power and produces sparse depth data.
Moreover, preprocessin