High-quality depth up-sampling via a supervised classification guided MRF model

Engineering

• Energy Function 100%
• High Resolution 100%
• Color Image 100%
• Random Field Model 100%
• Quantitative Evaluation 50%
• Boundary Region 50%
• Gradient Descent 50%
• Nearest Neighbor 50%

Computer Science

• Supervised Classification 100%
• Energy Function 40%
• markov random field model 40%
• Resolution Depth Map 40%
• Quantitative Evaluation 20%
• Boundary Region 20%
• classification result 20%
• Gradient Descent 20%
• K-Means Clustering 20%
• Segmentation Model 20%
• Neighbor Method 20%