Hallucinating faces
Top Cited Papers
- 7 November 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Faces often appear very small in surveillance imagery because of the wide fields of view that are typically used and the relatively large distance between the cameras and the scene. For tasks such as face recognition, resolution enhancement techniques are therefore generally needed. Although numerous resolution enhancement algorithms have been proposed in the literature, most of them are limited by the fact that they make weak, if any, assumptions about the scene. We propose an algorithm to learn a prior on the spatial distribution of the image gradient for frontal images of faces. We proceed to show how such a prior can be incorporated into a resolution enhancement algorithm to yield 4-8 fold improvements in resolution (i.e. 16--64 times as many pixels). The additional pixels are, in effect, hallucinated.Keywords
This publication has 12 references indexed in Scilit:
- Fast filter transform for image processingPublished by Elsevier ,2004
- The quotient image: Class based recognition and synthesis under varying illumination conditionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Learning to identify and track faces in image sequencesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The FERET evaluation methodology for face-recognition algorithmsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Multiresolution sampling procedure for analysis and synthesis of texture imagesPublished by Association for Computing Machinery (ACM) ,1997
- Extraction of high-resolution frames from video sequencesIEEE Transactions on Image Processing, 1996
- Pyramid-based texture analysis/synthesisPublished by Association for Computing Machinery (ACM) ,1995
- A Bayesian approach to image expansion for improved definitionIEEE Transactions on Image Processing, 1994
- Hierarchical model-based motion estimationPublished by Springer Nature ,1992
- The Laplacian Pyramid as a Compact Image CodeIEEE Transactions on Communications, 1983