Abstract | ||
---|---|---|
In this letter, we present an accurate Depth from Small Motion approach, which reconstructs three-dimensional (3-D) depth from image sequences with extremely narrow baselines. We start with estimating sparse 3-D points and camera poses via the structure from motion method. For dense depth reconstruction, we propose a novel depth propagation using a geometric guidance term that considers not only t... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/LSP.2017.2761557 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Three-dimensional displays,Image reconstruction,Cameras,Estimation,Surface reconstruction,Image color analysis,Feature extraction | Structure from motion,Iterative reconstruction,Computer vision,Surface reconstruction,Feature extraction,Artificial intelligence,Mathematics,Normal | Journal |
Volume | Issue | ISSN |
24 | 12 | 1070-9908 |
Citations | PageRank | References |
1 | 0.36 | 13 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Seunghak Shin | 1 | 13 | 2.07 |
Sunghoon Im | 2 | 47 | 7.24 |
Inwook Shim | 3 | 31 | 5.02 |
Hae-Gon Jeon | 4 | 130 | 11.17 |
In So Kweon | 5 | 2795 | 207.62 |