High-quality depth up-sampling via a supervised classification guided MRF model.
Yiguo QiaoLicheng JiaoXu TangWenbin LiDarren CoskerPublished in: Pattern Recognit. Lett. (2020)
Keyphrases
- supervised classification
- mrf model
- markov random field
- high quality
- image segmentation
- depth map
- supervised learning
- energy function
- unsupervised clustering
- bayesian framework
- supervised classifiers
- unsupervised learning
- mrf models
- maximum a posteriori
- random fields
- higher order
- graph cuts
- high resolution
- pairwise
- observation model
- unsupervised classification
- image restoration
- machine learning
- parameter estimation
- remotely sensed images
- land cover
- smoothness prior
- potential functions
- image reconstruction
- multiscale
- conditional random fields
- active contours
- level set
- least squares