Stereo-augmented Depth Completion from a Single RGB-LiDAR image
Keunhoon Choi,Somi Jeong,Youngjung Kim,Kwanghoon Sohn,Keunhoon Choi,Somi Jeong,Youngjung Kim,Kwanghoon Sohn
Depth completion is an important task in computer vision and robotics applications, which aims at predicting accurate dense depth from a single RGB-LiDAR image. Convolutional neural networks (CNNs) have been widely used for depth completion to learn a mapping function from sparse to dense depth. However, recent methods do not exploit any 3D geometric cues during the inference stage and mainly rely...
