Cascade Residual Learning: A Two-Stage Convolutional Neural Network for Stereo Matching
Cascade Residual Learning: A Two-Stage Convolutional Neural Network for Stereo Matching
Leveraging on the recent developments in convolutional neural networks (CNNs), matching dense correspondence from a stereo pair has been cast as a learning problem, with performance exceeding traditional approaches. However, it remains challenging to generate high-quality disparities for the inherently ill-posed regions. To tackle this problem, we propose a novel …