Shape from shading using robust statistics

Author

Worthington, Philip L. ; Hancock, Edwin R.

Author_Institution

Dept. of Comput. Sci., York Univ., UK

Volume

2

fYear

1997

fDate

2-4 Jul 1997

Firstpage

1145

Abstract

This paper describes how robust statistics can be applied to control the smoothness constraint in shape from shading. Conventionally, the smoothness-error is added to the data-closeness (or brightness-error) as a quadratic regularizer. The novelty of the work reported is to replace the quadratic regularizer with a robust error-kernel. Experiments on real and synthetic data reveal that robust regularizer prevents over-smoothing at high-curvature surface features and results in a significant improvement in reconstruction error

Keywords

brightness; error statistics; feature extraction; image reconstruction; smoothing methods; variational techniques; brightness-error; data-closeness; high-curvature surface features; quadratic regularizer; real image data; reconstruction error; robust error-kernel; robust statistics; shape from shading; smoothness constraint control; smoothness-error; synthetic image data; variational approach; Brightness; Computer science; Equations; H infinity control; Reflectivity; Robust control; Robustness; Shape control; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on

Conference_Location

Santorini

Print_ISBN

0-7803-4137-6

Type

conf

DOI

10.1109/ICDSP.1997.628569

Filename

628569