Shape-from-shading using a curvature consistency constraint

Author

Worthington, Philip L. ; Hancock, Edwin R.

Author_Institution

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

fYear

1999

fDate

1999

Firstpage

484

Lastpage

489

Abstract

This paper makes two contributions to the problem of needle-map recovery using shape-from-shading. Firstly, we provide a geometric update procedure which allows the image irradiance equation to be satisfied as a hard constraint. This improves the data-closeness of the recovered needle-map. Secondly, we consider how topographic constraints can be used to impose local consistency on the recovered needle-map. We present a curvature consistency model, and provide an experimental assessment of the new SFS framework on both real-world images and synthetic images with known ground-truth surface-normals

Keywords

computational geometry; constraint theory; image reconstruction; surface topography; curvature consistency constraint; data closeness; geometric update procedure; ground-truth surface-normals; image irradiance equation; image recovery; needle-map recovery; real-world images; shape-from-shading; synthetic images; topographic constraints; Calculus; Computer science; Equations; Needles; Optimized production technology; Read only memory; Smoothing methods; Surface reconstruction; Surface structures; Surface topography;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Processing, 1999. Proceedings. International Conference on

Conference_Location

Venice

Print_ISBN

0-7695-0040-4

Type

conf

DOI

10.1109/ICIAP.1999.797642

Filename

797642