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Abstract: Real-time identity-independent estimation of head pose from prototype images is a perplexing task, requiring pose-invariant face detection. The problem is exacerbated by changes in illumination, identity and facial position. We approach the problem using a view-based statistical learning technique based on similarity of images to prototypes. For this method to be effective, facial images must be transformed in such a way as to emphasise differences in pose, while suppressing differences in... (Update)
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BibTeX entry: (Update)
@misc{ department-corresponding,
author = "Jamie Sherrah Department",
title = "Corresponding Author",
url = "citeseer.ist.psu.edu/583260.html" }
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