SeqDNet: Improving Missing Value by Sequential Depth Network

Depth estimation is essential for many applications, such as 3D reconstruction and object recognition. In practice, the captured depth images naturally suffer from the noise and invalid depth value, i.e, depth noise and depth hole. Despite making a process on filling a small number (less than 10%) o... View More