Texture-guided depth upsampling using Bregman split: a clustering graph-based approach.
Doaa A. AltantawyAhmed I. SalehSherif S. KishkPublished in: Vis. Comput. (2020)
Keyphrases
- pairwise
- similarity matrix
- spectral clustering
- graph theoretic
- depth map
- graph clustering
- graph partitioning
- graph model
- graph construction
- graph theory
- clustering algorithm
- clustering method
- data clustering
- free viewpoint
- directed graph
- texture classification
- information theoretic
- normalized cut
- k means
- real scenes
- depth information
- bipartite graph
- weighted graph
- texture images
- low resolution
- random walk
- depth estimation
- kernel regression
- graph layout
- texture information
- texture synthesis
- graph mining
- graph structure
- maximum entropy
- cluster analysis
- texture features
- feature extraction