On the Confidence of Stereo Matching in a Deep-Learning Era: A Quantitative Evaluation.
Matteo PoggiSeungryong KimFabio TosiSunok KimFilippo AleottiDongbo MinKwanghoon SohnStefano MattocciaPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2022)
Keyphrases
- stereo matching
- quantitative evaluation
- deep learning
- belief propagation
- stereo vision
- ground truth
- depth map
- dynamic programming
- stereo images
- unsupervised learning
- machine learning
- post processing
- image matching
- disparity map
- quality assessment
- weakly supervised
- mental models
- image processing
- image registration
- data sets