Name
Abstract | ||
|---|---|---|
Images of everyday scenes are frequently used as input for texturing 3D models in computer graphics. Such images include both the texture desired and other extraneous information. In our previous work [Lu et al. 2009], we defined dominant texture as a large homogeneous region in an input sample image and proposed an automatic method to detect dominant textures based on diffusion distance manifolds. In this work, we explore the identification of cases where diffusion distance manifolds fail, and consider the best alternative method for such cases. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1620993.1621027 | APGV |
Keywords | Field | DocType |
dominant texture detection,large homogeneous region,psychophysical study,input sample image,everyday scene,extraneous information,alternative method,automatic method,dominant texture,previous work,computer graphics,diffusion distance manifold,user interfaces,input devices,computer graphic | Computer vision,Computer graphics (images),Homogeneous,Computer science,Artificial intelligence,User interface,Computer graphics,Manifold,Input device | Conference |
Citations | PageRank | References |
2 | 0.44 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianye Lu | 1 | 59 | 3.45 |
| Alexandra Garr-Schultz | 2 | 2 | 0.44 |
| Julie Dorsey | 3 | 2535 | 182.80 |
| Holly Rushmeier | 4 | 2294 | 334.25 |