Range Imaging With Adaptive Color Structured Light
IEEE Transactions on Pattern Analysis and Machine Intelligence
Range Sensing by Projecting Multiple Slits with Random Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape from Single Stripe Pattern Illumination
Proceedings of the 24th DAGM Symposium on Pattern Recognition
A multibaseline stereo system with active illumination and real-time image acquisition
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Three Dimensional Measurement using Color Structured Patterns and Imaging Spectrograph
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
High-accuracy stereo depth maps using structured light
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
A Perspective on Range Finding Techniques for Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hi-index | 0.10 |
This paper proposes a novel technique to extract range using a phase-only filter for a laser beam. The workspace is partitioned according to M meaningful preplanned range segments, each representing a relevant range segment in the scene. The phase-only filter codes the laser beam into M different diffraction patterns, corresponding to the predetermined range of each segment. Once the scene is illuminated by the coded beam, each plane in it would irradiate in a pattern corresponding to its range from the light source. Thus, range can be extracted at acquisition time. This technique has proven to be very efficient for qualitative real-time range extraction, and is mostly appropriate to handle mobile robot applications where a scene could be partitioned into a set of meaningful ranges, such as obstacle detection and docking. The hardware consists of a laser beam, a lens, a filter, and a camera, implying a simple and cost-effective technique.