Name
Abstract | ||
|---|---|---|
Both image segmentation and dense 3D modeling from images represent an intrinsically ill-posed problem. Strong regularizers are therefore required to constrain the solutions from being `too noisy'. These priors generally yield overly smooth reconstructions and/or segmentations in certain regions while they fail to constrain the solution sufficiently in other areas. In this paper, we argue that ima... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TPAMI.2016.2613051 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Surface reconstruction,Semantics,Three-dimensional displays,Image segmentation,Image reconstruction,Geometry,Labeling | Iterative reconstruction,Computer vision,Surface reconstruction,Scale-space segmentation,Pattern recognition,Segmentation,Computer science,Segmentation-based object categorization,Image segmentation,Artificial intelligence,3D modeling,3D reconstruction | Journal |
Volume | Issue | ISSN |
39 | 9 | 0162-8828 |
Citations | PageRank | References |
11 | 0.51 | 33 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Hane | 1 | 281 | 17.03 |
| Christopher Zach | 2 | 1457 | 84.01 |
| Andrea Cohen | 3 | 131 | 5.53 |
| Marc Pollefeys | 4 | 7671 | 475.90 |