Color-Encoded Structured Light for Rapid Active Ranging
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
Structured Light Using Pseudorandom Codes
IEEE Transactions on Pattern Analysis and Machine Intelligence
A robust-coded pattern projection for dynamic 3D scene measurement
Pattern Recognition Letters
Range Sensing by Projecting Multiple Slits with Random Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Disordered Patterns Projection For 3D Motion Recovering
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
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
Real-Time Range Acquisition by Adaptive Structured Light
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimised De Bruijn patterns for one-shot shape acquisition
Image and Vision Computing
Constructions for perfect maps and pseudorandom arrays
IEEE Transactions on Information Theory - Part 1
Real-time structured light coding for adaptive patterns
Journal of Real-Time Image Processing
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In this paper, we present a structured light technique based on the projection of a color coded hexagonal array that is able to obtain range images from moving scenes. Repetition and disorder is allowed in the codeword which implies several advantages: the mean Hamming distance between contiguous codewords of the pattern increases, the code loss due to occlusions and discontinuities can be efficiently handled and the computational cost in the pattern-image correspondence phase is highly reduced. The structured light projection system has been tested under real moving scenes on medium resolution range images and for slow controlled movements. In order to validate the performance of our range vision system we have used it to identify and track several 3D feature points as the scene moves. To measure the accuracy of the tracking a 6 DOF manipulator robot has been included in the experimental setup. All this experimental work, the results and the main contributions of our method compared to other perfect map and submap based techniques are detailed in the paper.