Title
Geometry Guided Three-Dimensional Propagation for Depth From Small Motion.
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 Shin1132.07
Sunghoon Im2477.24
Inwook Shim3315.02
Hae-Gon Jeon413011.17
In So Kweon52795207.62