Prediction of Depth Camera Missing Measurements Using Deep Learning for Next Best View Planning
Riccardo Monica,Jacopo Aleotti,Riccardo Monica,Jacopo Aleotti
Depth images usually contain pixels with invalid measurements. This paper presents a deep learning approach that receives as input a partially-known volumetric model of the environment and a camera pose, and it predicts the probability that a pixel would contain a valid depth measurement if a camera was placed at the given pose. The proposed network architecture consists of a 3D Convolutional Neur...
