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Learning Hough forest with depth-encoded context for object detection

Wang, Tao; He, Xuming; Barnes, Nick

Description

In this paper, we propose a novel extension to the Class-specific Hough Forest (CHF) framework for object detection and localization. Our approach utilizes depth information during training to build a more discriminative codebook which simultaneously encodes features from the object and the surrounding context. In particular, we augment the CHF with contextual image patches, and design a series of depth-aware uncertainty measures for the binary tests used in CHF training. The new splitting...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Conference paper
URI: http://hdl.handle.net/1885/71557
Source: 2012 International Conference on Digital Image Computing Techniques and Applications, DICTA 2012
DOI: 10.1109/DICTA.2012.6411700

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