Photometric reconstruction of a dynamic textured surface from just one color image acquisition

Benjamin Bringier (1) , David Helbert (1) , Majdi Khoudeir (1)

1 SIC

Textured surface analysis is essential for many applications. We present a three-dimensional recovery approach for real textured surfaces based on photometric stereo. The aim is to be able to measure the textured surfaces with a high degree of accuracy. For this, we use a color digital sensor and principles of color photometric stereo. This method uses a single color image, instead of a sequence of gray-scale images, to recover the surface of the three dimensions. It can thus be integrated into dynamic systems where there is significant relative motion between the object and the camera. To evaluate the performances of our method, we compare it on real textured surfaces to traditional photometric stereo using three images. We show thus that it is possible to have similar results with just one color image.

Mots clés: Digital image processing; Three-dimensional image acquisition; measurement; metrology; Photometry; Colorimetry; photometric stereo

Domaines: Traitement des images [eess.IV]; Optique / photonique

Benjamin Bringier, David Helbert, Majdi Khoudeir. Photometric reconstruction of a dynamic textured surface from just one color image acquisition. Journal of the Optical Society of America. A Optics, Image Science, and Vision, 2008, 25 (3), pp.566-574. ⟨10.1364/JOSAA.25.000566⟩. ⟨hal-00331323⟩