Our depth completion approach begins with input from an RGB-D sensor, which provides two data streams: an RGB image capturing the visual scene and a sparse depth map containing distance measurements.

The novelty of this approach is in combining the data of 2 sensors, the RGB sensor and the depth sensor, to achieve a robust foreground segmentation. The novelty also lies in the use of the RGB sensor ...

This letter proposes a novel RGB-Depth (RGB-D) sensor-aided radio map estimation framework using materials classification. Ray-tracing simulators for radio map estimation require expensive and ...

The mammalian retina is a complex system consisting out of cones (for color) and rods (for peripheral monochrome) that provide the raw image data which is then processed into successive layers of n… ...