Name
Abstract | ||
|---|---|---|
In this paper, we describe an automatic lighting adjustment method for browsing object images. From a set of images of an object, taken under different lighting conditions, we generate two types of illuminated images: a textural image which eliminates unwanted specular reflections of the object, and a highlight image in which specularities of the object are highly preserved. Our user interface allows viewers to digitally zoom into any region of the image, and the lighting adjusted images are automatically generated for the selected region and displayed. Switching between the textural and the highlight images helps viewers to understand characteristics of the object surface. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICME.2009.5202665 | ICME |
Keywords | Field | DocType |
automatic lighting adjustment method,image-based lighting adjustment method,object image browsing,selected region,illuminated image,lighting,user interfaces,unwanted specular reflection elimination,highlight image,user interface,object surface,browsing object image,image-based relighting,unwanted specular reflection,lighting adjustment,textural image,different lighting condition,image-based rendering,image texture,digital images quality,specular reflection,image based rendering,reflection,pixel,surface texture,indexing terms,titanium | Computer vision,Computer graphics (images),Image texture,Computer science,Specular reflection,Image-based lighting,Zoom,Artificial intelligence,Pixel,Image-based modeling and rendering,User interface | Conference |
ISSN | ISBN | Citations |
1945-7871 E-ISBN : 978-1-4244-1291-1 | 978-1-4244-1291-1 | 0 |
PageRank | References | Authors |
0.34 | 5 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Shingu | 1 | 27 | 4.89 |
| Shingo Uchihashi | 2 | 431 | 41.70 |
| Tsutomu Abe | 3 | 4 | 1.61 |
| Tetsuo Iyoda | 4 | 4 | 1.61 |
| Don Kimber | 5 | 365 | 43.84 |
| Eleanor Rieffel | 6 | 488 | 48.71 |
| Jim Vaughan | 7 | 69 | 8.52 |