Color-Encoded Structured Light for Rapid Active Ranging
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Range Image Acquisition with a Single Binary-Encoded Light Pattern
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape from shading
Range Sensing by Projecting Multiple Slits with Random Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
One-Shot Active 3D Shape Acquisition
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Journal on Image and Video Processing - Regular
3D Body Scanning in a Mirror Cabinet
Proceedings of the 30th DAGM symposium on Pattern Recognition
Qualitative real-time range extraction for preplanned scene partitioning using laser beam coding
Pattern Recognition Letters
3D shape recovery by the use of single image plus simple pattern illumination
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Nonstructured light-based sensing for 3D reconstruction
Pattern Recognition
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This paper presents a strategy for rapid reconstruction of surfaces in 3d which only uses a single camera shot of an object illuminated with a simple stripe pattern. With this respect, it is a meaningful extension of our 'shape from 2d edge gradient' method introduced earlier. The reconstruction is based on determining stripe directions and stripe widths in the camera image in order to estimate surface orientation. I.e., this method does not use triangulation for range data acquisition, but rather computes surface normals. These normals can be 2d integrated and thus yield the surface coordinates; in addition they can be used to compute robust 3d features of free-form surfaces for object recognition, pose estimation, etc. The method is straightforward and very efficient by processing only one image and using only simple image processing operations.