Dynamic photometric stereo-a new technique for moving surface analysis

Authors:
Melvyn L. Smith;Lyndon N. Smith
Affiliations:
Machine Vision Laboratory, Faculty of Computing, Engineering and Mathematical Sciences, University of the West of England, DuPont Building, Frenchay Campus, Bristol, BS16 1QY, UK;Machine Vision Laboratory, Faculty of Computing, Engineering and Mathematical Sciences, University of the West of England, DuPont Building, Frenchay Campus, Bristol, BS16 1QY, UK
Venue:
Image and Vision Computing
Year:
2005

Citing 2
Cited 1

Three-dimensional shape from color photometric stereo

International Journal of Computer Vision
The 4-source photometric stereo technique for three-dimensional surfaces in the presence of highlights and shadows

IEEE Transactions on Pattern Analysis and Machine Intelligence

Colour dynamic photometric stereo for textured surfaces

ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II

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Abstract

This paper describes a novel approach for two- and three-dimensional surface data capture from moving surfaces based upon an evolution of the existing photometric stereo (PS) technique. Limitations in current methods are described, together with the potential benefits of applying PS and the particular need for a new dynamic form of the method. Important issues relating to conventional idealised PS model assumptions are considered in the context of realising useful practical application, including in particular the modelling of real illuminates. Several possible techniques for achieving dynamic PS are considered and a new technique termed narrow infrared photometric stereo (NIRPS) introduced. New potential application areas range from the continuous inspection of fast moving surfaces typically encountered in numerous industrial processes to three-dimensional surface topographic texture acquisition in the field using portable hand-held technology. A selection of experimental results is presented in the paper.