Better Appearance Models for Pictorial Structures

M. Eichner, V. Ferrari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

We present a novel approach for estimating body part appearance models for pictorial structures. We learn latent relationships between the appearance of different body parts from annotated images, which then help in estimating better appearance models on novel images. The learned appearance models are general, in that they can be plugged into any pictorial structure engine. In a comprehensive evaluation we demonstrate the bene?ts brought by the new appearance models to an existing articulated human pose estimation algorithm, on hundreds of highly challenging images from the TV series Buffy the vampire slayer and the PASCAL VOC 2008 challenge.
Original languageEnglish
Title of host publicationBritish Machine Vision Conference
Number of pages11
Publication statusPublished - 1 Sept 2009


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