Name
Abstract | ||
|---|---|---|
Multi-view stereo methods frequently fail to properly reconstruct 3D scene geometry if visible texture is sparse or the scene exhibits difficult self-occlusions. Time-of-Flight (ToF) depth sensors can provide 3D information regardless of texture but with only limited resolution and accuracy. To find an optimal reconstruction, we propose an integrated multi-view sensor fusion approach that combines information from multiple color cameras and multiple ToF depth sensors. First, multi-view ToF sensor measurements are combined to obtain a coarse but complete model. Then, the initial model is refined by means of a probabilistic multi-view fusion framework, optimizing over an energy function that aggregates ToF depth sensor information with multi-view stereo and silhouette constraints. We obtain high quality dense and detailed 3D models of scenes challenging for stereo alone, while simultaneously reducing complex noise of ToF sensors. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICCVW.2009.5457430 | Computer Vision Workshops |
Keywords | Field | DocType |
energy function,silhouette constraints,3d information,self-occlusions,image fusion,multiview stereo methods,3d scene geometry,multiple tof depth sensors,tof sensor fusion,multiview image,multiple color cameras,image reconstruction,optimal reconstruction,probabilistic multiview fusion framework,integrated multiview sensor fusion,dense 3d reconstruction,stereo image processing,time-of-flight depth sensors,image colour analysis,probability,3d reconstruction,stereo vision,noise,sensor fusion,surface reconstruction | Iterative reconstruction,Computer vision,Surface reconstruction,Image fusion,Pattern recognition,Silhouette,Computer science,Stereopsis,Sensor fusion,Artificial intelligence,Probabilistic logic,3D reconstruction | Conference |
Volume | Issue | ISBN |
2009 | 1 | 978-1-4244-4441-0 |
Citations | PageRank | References |
60 | 3.04 | 13 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Young-Min Kim | 1 | 442 | 46.66 |
| Christian Theobalt | 2 | 3211 | 159.16 |
| James Diebel | 3 | 1605 | 79.08 |
| Jana Kosecká | 4 | 1523 | 129.85 |
| Branislav Miscusik | 5 | 60 | 3.04 |
| Sebastian Thrun | 6 | 20347 | 2302.56 |