Surface normal estimation by Spiral Codes
From ISLAB/CAISR
| Title | Surface normal estimation by Spiral Codes |
|---|---|
| Summary | Estimating 3d surface normal from a single image |
| Keywords | |
| TimeFrame | |
| References | J. Bigun "Vision with Direction", chapter 11, Springer, 2016. |
| Prerequisites | Image Analysis, multi-variable calculus |
| Author | |
| Supervisor | Josef Bigun |
| Level | Master |
| Status | Open |
Estimating 3d surface normal from a single image is an ill defined problem.
However, if there is knowledge about the viewed pattern of a surface, the surface normal
can be estimated from (2d) local image orientation statistics.
The project will have the goal to review methods extracting surface orientation in 3d from 2D texture: shape from texture. Additionally, the question will be studied for a restricted class of patterns, in the form of spiral patterns.
Good knowledge in calculus and image analysis is required.
