Multi-Scale Cost Volumes Cascade Network for Stereo Matching
Xiaogang Jia Wei Chen Chen Li Zhengfa Liang Mingfei Wu Yusong Tan Libo Huang Xiaogang Jia Wei Chen Chen Li Zhengfa Liang Mingfei Wu Yusong Tan Libo Huang
Stereo matching is essential for robot navigation. However, the accuracy of current widely used traditional methods is low, while methods based on CNN need expensive computational cost and running time. This is because different cost volumes play a crucial role in balancing speed and accuracy. Thus we propose MSCVNet, which combines traditional methods and neural networks to improve the quality of...