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Hierarchical Higher-Order Regression Forest Fields: An Application to 3D Indoor Scene Labelling

Pham, Trung T.; Reid, Ian; Latif, Yasir; Gould, Stephen

Description

This paper addresses the problem of semantic segmentation of 3D indoor scenes reconstructed from RGB-D images. Traditionally label prediction for 3D points is tackled by employing graphical models that capture scene features and complex relations between different class labels. However, the existing work is restricted to pairwise conditional random fields, which are insufficient when encoding rich scene context. In this work we propose models with higher-order potentials to describe complex...[Show more]

CollectionsANU Research Publications
Date published: 2015
Type: Conference paper
URI: http://hdl.handle.net/1885/103838
Source: Hierarchical Higher-order Regression Forest Fields: An Application to 3D Indoor Scene Labelling
DOI: 10.1109/ICCV.2015.259

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