Name
Title | ||
|---|---|---|
Spatio-temporal geometry fusion for multiple hybrid cameras using moving least squares surfaces |
Abstract | ||
|---|---|---|
Multi-view reconstruction aims at computing the geometry of a scene observed by a set of cameras. Accurate 3D reconstruction of dynamic scenes is a key component for a large variety of applications, ranging from special effects to telepresence and medical imaging. In this paper we propose a method based on Moving Least Squares surfaces which robustly and efficiently reconstructs dynamic scenes captured by a calibrated set of hybrid color+depth cameras. Our reconstruction provides spatio-temporal consistency and seamlessly fuses color and geometric information. We illustrate our approach on a variety of real sequences and demonstrate that it favorably compares to state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1111/cgf.12285 | Comput. Graph. Forum |
Field | DocType | Volume |
Computer vision,Computer graphics (images),Computer science,Medical imaging,Fusion,Moving least squares,Ranging,Artificial intelligence,Geometry,Fuse (electrical),3D reconstruction | Journal | 33 |
Issue | ISSN | Citations |
2 | 0167-7055 | 13 |
PageRank | References | Authors |
0.62 | 39 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Claudia Kuster | 1 | 87 | 4.93 |
| Jean Charles Bazin | 2 | 192 | 16.87 |
| A. C. Öztireli | 3 | 183 | 12.94 |
| Teng Deng | 4 | 13 | 0.62 |
| Tobias Martin | 5 | 20 | 2.78 |
| Tiberiu Popa | 6 | 473 | 32.74 |
| Markus H. Gross | 7 | 10154 | 549.95 |