Deep Neural Network (DNN)–based stereo models have become essential for depth estimation because they overcome many of the fundamental limitations of classical and geometry-based stereo algorithms.

Abstract: With the rapid development of stereoscopic vision applications, stereo image processing techniques have attracted increasing attention in both academic and industrial communities. In this ...

Abstract: Stereo estimation is essential to many applications such as mobile autonomous robots, most of which ask for real-time response, high energy, and storage efficiency. Deep neural networks ...

“Now everyone gets the best seat in the house,” says Conductor Erich Leinsdorf. “That is proper for a democracy, is it not?” The “best seat” is a living room sofa facing a wall equipped with two ...