Repository landing page
Discriminative Appearance Models for Face Alignment
Abstract
The proposed face alignment algorithm uses local gradient features as the appearance representation. These features are obtained by pixel value comparison, which provide robustness against changes in illumination, as well as partial occlusion and local deformation due to the locality. The adopted features are modeled in three discriminative methods, which correspond to different alignment cost functions. The discriminative appearance modeling alleviate the generalization problem to some extent- doc-type:doctoralThesis
- Text
- info:eu-repo/semantics/doctoralThesis
- dissertation
- info:eu-repo/semantics/publishedVersion
- Image processing and computer vision
- facial image analysis
- image alignment
- robustness
- discriminative models
- local feature
- ddc:004
- DATA processing & computer science
- info:eu-repo/classification/ddc/004
Similar works
This paper was published in KITopen.
Having an issue?
Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.