For fitting Active Appearance Models (AAMs) to low-resolution images, the authors built a multi-resolution AAM and show that the best fitting performance is obtained when the model resolution is slightly higher than the facial image resolution.
(AAMs) represent the shape and appearance of an object via two low-dimensional subspaces, one for shape and one for appearance. AAMs for facial images are currently receiving considerable attention from the vision community; however, most existing work focuses on fitting AAMs to high-quality facial images. For many applications, effectively fitting an AAM to low-resolution facial images is of critical importance. This paper addresses this challenge from two aspects. On the modeling side, the authors propose an iterative AAM enhancement scheme, which not only results in increased fitting speed, but also improves the fitting robustness. Experimental results using both indoor video and outdoor surveillance video are presented. (Publisher abstract provided)
Downloads
Similar Publications
- Assessment of risk factors and preventive measures for inorganic and organic GSR secondary transfer in arrest scenarios
- Statistical approach to establish equivalence of unabbreviated mass spectra
- Preliminary Sex-specific Relationships between Peak Force and Cortical Bone Morphometrics in Human Tibiae Subjected to Lateral Loading