Abstract | ||
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Recently researchers have shown much interest in 3D projection mapping systems but relatively less work has been done to make the contents look realistic. Much work has been done for multi-projector blending, 3D projection mapping and multi-projector based large displays but existing color compensation based systems still suffer from contrast compression, color inconsistencies and inappropriate luminance over the three dimensional projection surface giving rise to an un-appealing appearance. Until now having a realistic result with projection mapping on 3D objects when compared with a similar original object still remains a challenge. In this paper, we present a framework that optimizes projected images using multiple projectors in order to achieve an appearance that looks close to a real object whose appearance is being regenerated by projection mapping. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1145/2945078.2945154 | SIGGRAPH Posters |
Field | DocType | Citations |
Oblique projection,Computer vision,Graphical projection,Projection mapping,Computer graphics (images),Computer science,3D projection,Artificial intelligence,Luminance | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bilal A. Ahmed | 1 | 61 | 17.20 |
Jong-Hun Lee | 2 | 1 | 3.52 |
Yong Yi Lee | 3 | 2 | 4.55 |
Junho Choi | 4 | 366 | 60.87 |
Yong Hwi Kim | 5 | 1 | 3.52 |
Moon Gu Son | 6 | 2 | 2.53 |
Min Ho Joo | 7 | 1 | 0.82 |
Kwan H. Lee | 8 | 148 | 29.48 |