Name
Abstract | ||
|---|---|---|
The authors propose an active solution of optimally recovering 3D scene depth from a sequence of pictures. The choice of the difference between camera locations for the different pictures in the sequence is described. The tradeoff between short and long distances between successive locations of the camera is shown in terms of occlusions perspective transformation, and exact triangulation |
Year | DOI | Venue |
|---|---|---|
1991 | 10.1109/CVPR.1991.139794 | CVPR |
Keywords | Field | DocType |
pattern recognition,picture processing,3d scene depth,camera locations,exact triangulation,image sequence,occlusions,perspective transformation,scene reconstruction,layout,photometry,mathematical model,motion estimation,computer science,data mining,random variables | Computer vision,Random variable,Pattern recognition,Computer science,Perspective transformation,Photometry (optics),Triangulation (social science),Artificial intelligence,Motion estimation,Picture processing,Image sequence | Conference |
ISSN | Citations | PageRank |
1063-6919 | 1 | 0.40 |
References | Authors | |
1 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Shmuel | 1 | 284 | 44.59 |
| M. Werman | 2 | 343 | 112.04 |