Single Image Depth Estimation from Predicted Semantic Labels
We consider the problem of estimating the depth of each pixel in a scene from a single monocular image. Unlike traditional approaches [18, 19], which attempt to map from appearance features to depth directly, we first perform a semantic segmentation of the scene and use the semantic labels to guide the 3D reconstruction. This approach provides several advantages: By knowing the semantic class of a pixel or region, depth and geometry constraints can be easily enforced (e.g., "sky" is far away...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of The 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010)|
|01_Liu_Single_Image_Depth_Estimation_2010.pdf||2.16 MB||Adobe PDF||Request a copy|
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