Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression.
Dongting HuLiuhua PengTingjin ChuXiaoxing ZhangYinian MaoHoward BondellMingming GongPublished in: ECCV (2) (2022)
Keyphrases
- ordinal regression
- depth estimation
- stereo vision
- depth map
- gaussian processes
- stereo matching
- depth information
- binary classification
- multiple criteria
- dynamic scenes
- stereo pair
- super resolution
- gaussian process
- real scenes
- scene understanding
- feature matching
- survival analysis
- multi view
- data sets
- image sequences
- regression model
- moving objects
- bayesian networks
- disparity map
- stereo images
- object detection
- image segmentation