Name
Abstract | ||
|---|---|---|
An active 3D acquisition system is presented that projects a simple pattern of squares on a scene and views it from a different angle. This paper describes how the observed pattern can be extracted from the image data. The underlying algorithm automatically detects the lines and crossings of the projected pattern in the image. Experiments show that the algorithm is robust and provides accurate three-dimensional (3D) reconstructions. Its one-shot operation principle enables the system to retrieve the shape of moving objects |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/ICIP.1996.560578 | Image Processing, 1996. Proceedings., International Conference |
Keywords | Field | DocType |
edge detection,feature extraction,image recognition,image reconstruction,motion estimation,3D reconstructions,3D shape,active 3D acquisition system,algorithm,automatic line detection,experiments,image data,moving objects,one-shot operation principle,pattern extraction,projected pattern,shape retrieval,squares pattern,three-dimensional image reconstruction | Iterative reconstruction,Computer vision,Pattern recognition,Edge detection,Computer science,Feature extraction,Augmented reality,Robustness (computer science),Artificial intelligence,Motion estimation,Detector | Conference |
Volume | ISBN | Citations |
3 | 0-7803-3259-8 | 23 |
PageRank | References | Authors |
2.40 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marc Proesmans | 1 | 277 | 34.37 |
| Luc Van Gool | 2 | 27566 | 1819.51 |
| Oosterlinck, A. | 3 | 711 | 254.21 |