Difference between revisions of "Surface normal estimation by Spiral Codes"
From ISLAB/CAISR
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|Summary=Estimating 3d surface normal from a single image | |Summary=Estimating 3d surface normal from a single image | ||
|References=J. Bigun "Vision with Direction", chapter 11, Springer, 2016. | |References=J. Bigun "Vision with Direction", chapter 11, Springer, 2016. | ||
| − | |Prerequisites=Image Analysis | + | |Prerequisites=Image Analysis, multi-variable calculus |
|Supervisor=Josef Bigun | |Supervisor=Josef Bigun | ||
|Level=Master | |Level=Master | ||
|Status=Open | |Status=Open | ||
}} | }} | ||
| − | Estimating 3d surface normal from a single image | + | 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. | ||
Latest revision as of 12:30, 11 October 2021
| 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.
