Geometric and photometric constraints for surface recovery

In this paper we present a novel approach to surface recovery from an image sequence of a rotating object. In this approach, the object is illuminated under a collinear light source (where the light source lies on or near the optical axis) and rotated on a controlled turntable. A wire-frame of 3D curves on the object surface is extracted by using shading and occluding contours in the image sequence. Then the whole object surface is recovered by interpolating the surface between curves on the wire-frame. The interpolation can be done by using geometric or photometric constraints. The photometric method uses shading information and is more powerful than geometric methods. The experimental results on real image sequence of matte and specular surfaces show that the technique is feasible and promising.

[1]  Rui J. P. de Figueiredo,et al.  A Theory of Photometric Stereo for a Class of Diffuse Non-Lambertian Surfaces , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Norihiro Abe,et al.  Shape and model from specular motion , 1995, Proceedings of IEEE International Conference on Computer Vision.

[3]  R. Woodham.  Gradient and Curvature from Photometric Stereo Including Local Condence Estimation , 1994 .

[4]  R. Woodham.  Gradient and curvature from the photometric-stereo method, including local confidence estimation , 1994 .

[5]  Takashi Matsuyama,et al.  Shape from shading with interreflections under proximal light source-3D shape reconstruction of unfolded book surface from a scanner image , 1995, Proceedings of IEEE International Conference on Computer Vision.

[6]  Richard Szeliski,et al.  Shape from rotation , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[7]  Robert J. Woodham,et al.  Photometric method for determining surface orientation from multiple images , 1980 .

[8]  Richard Szeliski,et al.  Robust Shape Recovery from Occluding Contours Using a Linear Smoother , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[9]  Jiang Yu Zheng,et al.  Acquiring 3-D Models from Sequences of Contours , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Berthold K. P. Horn,et al.  Shape from shading , 1989 .

[11]  James J. Little,et al.  Reflectance function estimation and shape recovery from image sequence of a rotating object , 1995, Proceedings of IEEE International Conference on Computer Vision.