Name
Abstract | ||
|---|---|---|
Extracting 3D information from a 2D image has been a challenging task in the field of computer vision. Various approaches which use techniques like focusing/defocusing, shading, machine learning, and statistical methods and models, have been presented to extract such information. However, these approaches are computationally intensive. In this paper, a novel pixel based method is presented in which the interdependence between the atmospheric scattering and the distance of the object in an external outdoor scene is used. The method computes the attenuation coefficient from a scene image and uses it for generation of the depth image depicting relative ordering of objects in the image. The experimental results are encouraging w.r.t. the earlier methods. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2425333.2425350 | ICVGIP |
Keywords | Field | DocType |
attenuation coefficient,challenging task,computer vision,atmospheric scattering,scene image,earlier method,depth image,external outdoor scene,statistical method | Attenuation coefficient,Computer vision,Computer graphics (images),Diffuse sky radiation,Computer science,Pixel,Artificial intelligence,Shading | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jayanta Kumar Das | 1 | 3 | 1.80 |
| Arindam Biswas | 2 | 141 | 35.89 |
| Sanjoy Kumar Saha | 3 | 124 | 25.97 |