The variational approach to shape from shading
Computer Vision, Graphics, and Image Processing
A Method for Enforcing Integrability in Shape from Shading Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determining Surface Orientation by Projecting a Stripe Pattern
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface Orientation from a Projected Grid
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Estimation of Shape from Texture
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape from Single Stripe Pattern Illumination
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Surface Reconstruction from Feature Based Stereo
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Three-Dimensional Face Recognition
International Journal of Computer Vision
3D acquisition system using uncalibrated line-laser projec
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Advances in the cooperation of shape from shading and stereo vision
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
EC-EGI: enriched complex EGI for 3D shape registration
Machine Vision and Applications
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This paper presents a method of surface orientation and in turn shape recovery from a single image captured under projection of a simple checkerboard pattern. The essences of the method include that only one image is required, that accurate correspondence establishment between the image and the projected pattern is not necessary, that the determination of 3D is much less sensitive to imaging noise and illumination condition than intensity-based methods like shape from shading. The method relies upon the fact that surface orientations at the grid points are only decided by image tangents in the image data. Experiments on planar, spherical, and ribbon-like surfaces show that, with accurate calibration of the projector-and-camera system through a mechanism we proposed earlier, 3D shape can be recovered with ease and precision both much better than before.