Range Image Acquisition with a Single Binary-Encoded Light Pattern
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structured Light Using Pseudorandom Codes
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer vision
Multiple view geometry in computer vision
A High Precision 3D Object Reconstruction Method Using a Color Coded Grid and NURBS
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
High-Resolution, Real-time 3D Shape Acquisition
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 3 - Volume 03
High-accuracy stereo depth maps using structured light
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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Structured light stereoscopic imaging offers an efficient and affordable solution to 3D modeling of objects. The majority of structured light patterns that have been proposed either provide a limited resolution or are sensitive to the inherent texture on the surface of the object. This paper proposes an innovative imaging strategy that accomplishes 3D reconstruction of objects using a combination of spatial-neighboring and time-multiplexing structured light patterns encoded with uniquely defined pseudo-random color codes. The approach is extended with the concept of dynamic patterns that adaptively increases the reconstruction resolution. Original techniques are introduced to recover and validate pseudo-random codes from stereoscopic images, and to consistently map color and texture over the reconstructed surface map. Experimental results demonstrate the potential of the solution to create reconstructions with various densities of points and prove the robustness of the approach on objects with different surface properties.