Recovering 3D shape and texture from continuous focus series: using a polarized filter

An accurate method recovering the 3D object function g(X,Y,D) from an image sequence of continuous focus series is proposed. Not only the depth map D(x,y) but also a pan-focused brightness map g/sub p/(X,Y) (a clear texture image observed by an ideal pinhole camera) are obtained. The depth map (2 1/2-D sketch) of the scene is evaluated by detecting that a distinct maximum of the point spread function exists in the focal plane. To estimate the maximum, a local variance of the brightness distribution is computed as a function of the focus location. A clear texture of the scene (object) is composed by collecting the brightness values from the respective focused 128 (or 256) frames. Reconstruction of the 3-D sketch is tested by mapping the texture on the depth map. The usefulness of a polarized filter is also demonstrated to recover an accurate depth map in the presence of specular reflection.

[1]  Y Ichioka,et al.  Digital composition of images with increased depth of focus considering depth information. , 1985, Applied optics.

[2]  Ray A. Jarvis,et al.  A Perspective on Range Finding Techniques for Computer Vision , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Peter Lawrence,et al.  An Investigation of Methods for Determining Depth from Focus , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Naoki Asada,et al.  Seeing behind the scene: analysis of photometric properties of occluding edges by the reversed projection blurring model , 1995, Proceedings of IEEE International Conference on Computer Vision.

[5]  Shree K. Nayar,et al.  Real-time focus range sensor , 1995, Proceedings of IEEE International Conference on Computer Vision.

[6]  Murali Subbarao Parallel Depth Recovery By Changing Camera Parameters , 1988, [1988 Proceedings] Second International Conference on Computer Vision.

[7]  Shree K. Nayar,et al.  Shape from Focus , 1994, IEEE Trans. Pattern Anal. Mach. Intell..