Surface Orientation from a Projected Grid
IEEE Transactions on Pattern Analysis and Machine Intelligence
Advanced animation and rendering techniques
Advanced animation and rendering techniques
Camera Calibration with Distortion Models and Accuracy Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
A 3-D vision system model for automatic object surface sensing
International Journal of Computer Vision
A robust-coded pattern projection for dynamic 3D scene measurement
Pattern Recognition Letters
A Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational Experiments with a Feature Based Stereo Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Range Measurement Device for Three-Dimensional Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Surface Reconstruction from One Camera System
FGIT '09 Proceedings of the 1st International Conference on Future Generation Information Technology
Nonstructured light-based sensing for 3D reconstruction
Pattern Recognition
A sampling theorem for a 2d surface
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Flexible calibration of structured-light systems projecting point patterns
Computer Vision and Image Understanding
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This paper deals with 3D shape reconstruction using a structured light system (SLS) which projects a matrix of laser rays onto the scene to be analyzed. The intrinsic problem of such a system is the correspondence problem solving, which in this particular case amounts to matching up the imaged spots and the originating laser rays. In this paper, we propose a method for automatically obtaining configurations of the system (COS) (i.e. the relative positions of the camera, laser projector, and measuring scene) that permit to achieve a direct and unambiguous correspondence. After, we propose a splitting cell algorithm, which efficiently performs a real-time correspondence procedure. Experimental results obtained from both simulated and real data demonstrate that our method provides our SLS with possibilities for real-time applications.