Name
Abstract | ||
|---|---|---|
We describe an algorithm to determine dense 3-D structure in a static scene from an image sequence captured by a moving camera. Metric camera mo- tions are first determined using a recursive structure from motion algorithm based on tracked feature points. Dense depth information for a subset of key frames is then obtained using a novel probabilistic depth carvingalgorithm - analogous to space carving - in which depth probabilities obtained locally about the key frames are combined in 3-D space. An important component in this process is that opacity and occlusion relationships are modelled ex- plicitly, enabling consistent combination of the depth probabilities. Results of experiments on a real sequence illustrate the effectiveness of the approach. |
Year | Venue | Keywords |
|---|---|---|
2003 | european conference on computer vision | structure from motion |
DocType | Citations | PageRank |
Conference | 2 | 0.53 |
References | Authors | |
9 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Annie Yao | 1 | 2 | 0.87 |
| Andrew Calway | 2 | 645 | 54.66 |