Abstract
Geometric detail is a universal phenomenon in real world objects. It is an important component in object modeling, but not accounted for in current intrinsic image works. In this work, we explore using a non-parametric method to separate geometric detail from intrinsic image components. We further decompose an image as albedo * (coarse-scale shading + shading detail). Our decomposition offers quantitative improvement in albedo recovery and material classification. Our method also enables interesting image editing activities, including bump removal, geometric detail smoothing/enhancement and material transfer.
| Original language | English (US) |
|---|---|
| Article number | 6618973 |
| Pages (from-to) | 963-970 |
| Number of pages | 8 |
| Journal | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
| DOIs | |
| State | Published - 2013 |
| Event | 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013 - Portland, OR, United States Duration: Jun 23 2013 → Jun 28 2013 |
Keywords
- Geometric detail
- intrinsic image decomposition
- material representation
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition