Name
Abstract | ||
|---|---|---|
We present a scalable, real-time capable method for robust surface reconstruction that explicitly handles multiple scales. As a monocular camera browses a scene, our algorithm processes images as they arrive and incrementally builds a detailed surface model.While most of the existing reconstruction approaches rely on volumetric or point-cloud representations of the environment, we perform depth-map and colour fusion directly into a multi-resolution triangular mesh that can be adaptively tessellated using the concept of Dynamic Level of Detail. Our method relies on least-squares optimisation, which enables a probabilistically sound and principled formulation of the fusion algorithm.We demonstrate that our method is capable of obtaining high quality, close-up reconstruction, as well as capturing overall scene geometry, while being memory and computationally efficient. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/3DV.2016.82 | 2016 Fourth International Conference on 3D Vision (3DV) |
Keywords | Field | DocType |
monocular realtime surface reconstruction,dynamic level-of-detail concept,monocular camera,reconstruction approach,volumetric representation,point-cloud representation,colour fusion,depth-map fusion,multiresolution triangular mesh,scene geometry | Iterative reconstruction,Surface reconstruction,Computer vision,Level of detail,Computer science,Monocular camera,Artificial intelligence,Monocular,Triangle mesh,Scalability | Conference |
ISSN | ISBN | Citations |
2378-3826 | 978-1-5090-5408-4 | 2 |
PageRank | References | Authors |
0.36 | 17 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jacek Zienkiewicz | 1 | 5 | 1.09 |
| Akis Tsiotsios | 2 | 2 | 0.36 |
| Andrew J. Davison | 3 | 6707 | 350.85 |
| Stefan Leutenegger | 4 | 1379 | 61.81 |