2015
Learning joint features for color and depth images with Convolutional Neural Networks for object classification
ICASSP 2015accepted
In this paper we investigate the advantages of learning representations of color plus depth images (Red-Blue-Green-Depth, RGB-D) over color only images (RGB) for computer vision. Specifically, we investigate the advantages on the task of object recognition. For this purpose, we applied the state-of-…