Accurate light field depth estimation with superpixel regularization over partially occluded regions

Keyphrases

• Depth of Field 100%
• Partially Occluded 100%
• Depth Estimation 100%
• Light Field 100%
• Occluded Region 100%
• Superpixel Regularization 100%
• State-of-the-art Techniques 40%
• Boundary Region 40%
• Confidence Map 40%
• Edge Strength 40%
• Label Confidence 40%
• Error Rate 20%
• Estimation Error 20%
• Estimation Framework 20%
• Recall Rate 20%
• Occlusion 20%
• Visual Features 20%
• Effective Depth 20%
• Scene Structure 20%
• Robust Matching 20%
• Superpixel-based 20%
• Precision-recall 20%
• Occlusion Boundary 20%
• Light Field Photography 20%
• Weight Manipulation 20%
• Weighted Least Squares Model 20%
• Challenging Issues 20%
• Complex Scenes 20%
• Epipolar Plane Image 20%

Computer Science

• Depth Estimation 100%
• Superpixel 100%
• Regularization 100%
• Boundary Region 40%
• Least Squares Methods 20%
• Visual Feature 20%
• Scene Structure 20%
• Fundamental Problem 20%
• Estimation Error 20%