Depth and Surface Normal Estimation from Monocular Images Using Regression on Deep Features and Hierarchical CRFs.
Computer Vision and Pattern Recognition（2015）
Key words
depth normal estimation,surface normal estimation,monocular images,deep features,hierarchical CRF,depth Predicting,deep-convolutional neural network features,postprocessing refining step,conditional random fields,CRF,super-pixel level,DCNN model,mapping learning,multiscale image patches,surface normal map,depth normal map,smoothness term,data term,auto-regression term,local structure,estimation map,inference problem,closed-form solution,Make3D dataset,NYU Depth V2 dataset
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