Abstract | ||
---|---|---|
This study presents an algorithm for estimating three-dimensional (3D) depth from a single monocular outdoor image. This algorithm combines three major components: the initial depth prior, the dark channel prior, and multi-resolution analysis. The initial depth prior assigns an initial depth to each object based on its location in the image. The object segmentation in this step is based on edge, h... |
Year | DOI | Venue |
---|---|---|
2011 | 10.1109/TCE.2011.5955227 | IEEE Transactions on Consumer Electronics |
Keywords | Field | DocType |
Pixel,Three dimensional displays,Image resolution,Image color analysis,Estimation,Image edge detection,Image segmentation | Computer vision,Image fusion,Computer science,Hue,Image segmentation,Ground truth,Artificial intelligence,Pixel,Depth map,Monocular,Image resolution | Journal |
Volume | Issue | ISSN |
57 | 2 | 0098-3063 |
Citations | PageRank | References |
10 | 0.59 | 12 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tien-Ying Kuo | 1 | 148 | 19.24 |
Yi-Chung Lo | 2 | 32 | 5.06 |