NOCaL: Calibration-Free Semi-Supervised Learning of Odometry and Camera Intrinsics.
Ryan GriffithsJack NaylorDonald G. DansereauPublished in: CoRR (2022)
Keyphrases
- semi supervised learning
- intrinsic parameters
- inertial sensors
- camera calibration
- focal length
- semi supervised
- camera parameters
- calibration method
- unlabeled data
- labeled data
- position and orientation
- supervised learning
- unsupervised learning
- training data
- semi supervised classification
- manifold regularization
- semi supervised learning algorithms
- structure from motion
- label propagation
- graph based semi supervised learning
- field of view
- machine learning
- co training
- multi view
- epipolar geometry
- transfer learning
- pose estimation
- semi supervised learning methods
- learning models
- labeled and unlabeled data
- domain adaptation
- feature points
- active learning
- single view
- metric learning
- graph construction
- similarity measure
- decision trees
- computer vision