Abstract
Interreflections exhibit a number of challenges for existing shape-from-intensity methods that only assume a direct lighting model. Removing the interreflections from scene observations is of broad interest since it enhances the accuracy of those methods. In this paper, we propose a method for removing interreflections from a single image using fluorescence. From a bispectral observation of reflective and fluorescent components recorded in distinct color channels, our method separates direct lighting from interreflections. Experimental results demonstrate the effectiveness of the proposed method on complex and dynamic scenes. In addition, we show how our method improves an existing photometric stereo method in shape recovery.
Original language | English |
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Pages (from-to) | 203-217 |
Number of pages | 15 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Volume | 8693 LNCS |
Issue number | PART 5 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Event | 13th European Conference on Computer Vision, ECCV 2014 - Zurich, Switzerland Duration: 6 Sept 2014 → 12 Sept 2014 |
Keywords
- Fluorescence
- and interreflection removal
- bispectral interreflection model
- bispectral model