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Real-time facial feature detection using conditional regression forests

7 years 6 months ago
Real-time facial feature detection using conditional regression forests
Although facial feature detection from 2D images is a well-studied field, there is a lack of real-time methods that estimate feature points even on low quality images. Here we propose conditional regression forest for this task. While regression forest learn the relations between facial image patches and the location of feature points from the entire set of faces, conditional regression forest learn the relations conditional to global face properties. In our experiments, we use the head pose as a global property and demonstrate that conditional regression forests outperform regression forests for facial feature detection. We have evaluated the method on the challenging Labeled Faces in the Wild [20] database where close-to-human accuracy is achieved while processing images in real-time.
Matthias Dantone, Juergen Gall, Gabriele Fanelli,
Added 28 Sep 2012
Updated 28 Sep 2012
Type Journal
Year 2012
Where CVPR
Authors Matthias Dantone, Juergen Gall, Gabriele Fanelli, Luc J. Van Gool
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