Work

Silhouette estimation

Year: 2014

Type: article

Abstract: Silhouettes arise in a variety of imaging scenarios. Pristine silhouettes are often degraded via blurring, detector sampling, and detector noise. We present a maximum a posteriori estimator for the restoration of parameterized facial silhouettes. Extreme dealiasing and dramatic superresolution, well beyond the diffraction limit, are demonstrated through the use of strong prior knowledge.

Source: Journal of the Optical Society of America A

DOI: 10.1364/josaa.31.001636

Authors: Richard G. Paxman, David A. Carrara, Paul D. Walker, Nicolas Davidenko

Institutions: General Dynamics (United States), University of California, Santa Cruz

Language: English

Topic: Advanced Image Processing Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: U.S. Department of Defense, DOD Counterdrug Technology Development Program Office

OpenAlex ID: W4242582210

FWCI:

Cites: 17

Cited by: 2

Related to: 10