Comparison Between Traditional and CNN Based Stereo Matching Algorithms
Jong‐Min Kim, Jeongmin Park, Joon-Woong Lee · Journal of Institute of Control Robotics and Systems · 2020
CNN has been widely used in computer vision. In particular, CNN has been applied in stereo matching, which involves finding pixels corresponding to each other in a pair of images that capture a scene at the same time. This paper focuses on analyzing stereo matching methods based on CNN, and compares them with a traditional stereo matching method. CNN-based methods produced good matching results for ill-posed areas, including textureless areas, repeated patterns and highly reflective surfaces. By contrast, traditional stereo matching methods could not produce good matching results for such ill-posed regions. Therefore, in this paper, we demonstrate how good CNN-based methods could produce matching results for both indoor and outdoor images.