ps Thumb sm raghudeep
Raghudeep Gadde (Project leader)
Postdoctoral Researcher
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Varun Jampani (Project leader)
Ph.D. Student
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Peter Vincent Gehler
Research Group Leader
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Renaud Marlet
Universite Paris-Est, Paris
1 result

2015


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Efficient Facade Segmentation using Auto-Context

Jampani*, V., Gadde*, R., Gehler, P.

In Applications of Computer Vision (WACV), 2015 IEEE Winter Conference on, pages: 1038-1045, IEEE, January 2015 (inproceedings)

Abstract
In this paper we propose a system for the problem of facade segmentation. Building facades are highly structured images and consequently most methods that have been proposed for this problem, aim to make use of this strong prior information. We are describing a system that is almost domain independent and consists of standard segmentation methods. A sequence of boosted decision trees is stacked using auto-context features and learned using the stacked generalization technique. We find that this, albeit standard, technique performs better, or equals, all previous published empirical results on all available facade benchmark datasets. The proposed method is simple to implement, easy to extend, and very efficient at test time inference.

website pdf supplementary IEEE page link (url) DOI Project Page [BibTex]

2015

website pdf supplementary IEEE page link (url) DOI Project Page [BibTex]