Object recognition using shape-from-shading

Author

Worthington, Philip L. ; Hancock, Edwin R.

Author_Institution

Dept. of Comput., Univ. of Manchester Inst. of Sci. & Technol., UK

Volume

23

Issue

5

fYear

2001

fDate

5/1/2001 12:00:00 AM

Firstpage

535

Lastpage

542

Abstract

Investigates whether surface topography information extracted from intensity images using a shape-from-shading (SFS) algorithm can be used for the purposes of 3D object recognition. We consider how curvature and shape-index information delivered by this algorithm can be used to recognize objects based on their surface topography. We explore two contrasting object recognition strategies. The first of these is based on a low-level attribute summary and uses histograms of curvature and orientation measurements. The second approach is based on the structural arrangement of constant shape-index maximal patches and their associated region attributes. We show that region curvedness and a string ordering of the regions according to size provides recognition accuracy of about 96 percent. By polling various recognition schemes, including a graph matching method, we show that a recognition rate of 98-99 percent is achievable

Keywords

graph theory; matrix algebra; object recognition; surface topography; 3D object recognition; constant shape-index maximal patches; curvature; graph matching method; intensity images; low-level attribute summary; orientation measurements; recognition rate; region attributes; region curvedness; shape-from-shading; shape-index information; string ordering; structural arrangement; surface topography information; Brightness; Data mining; Equations; Histograms; Image recognition; Object recognition; Position measurement; Shape measurement; Surface structures; Surface topography;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.922711

Filename

922711