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Single Image Depth Estimation from Predicted Semantic Labels

Liu, Beyang; Gould, Stephen; Koller, Daphne

Description

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]

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
URI: http://hdl.handle.net/1885/58500
Source: Proceedings of The 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010)
DOI: 10.1109/CVPR.2010.5539823

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