Name
Abstract | ||
|---|---|---|
Existing methods of texture generation from registered images only work well on accurate models. For inaccurate models, texture drifts may occur. In this paper, we propose a view-dependent seamless texture generation method for inaccurate models. Under a specific viewpoint, this method first assigns each mesh face with a label associated with a registered image to generate a primitive texture. Different from previous methods, our label assignment process is dependent on the current view direction to reduce projective displacements of texture due to imprecision of the geometry. Then, a gradient-domain editing method is used to eliminate seams between image segments. If more than one observation views are given, the seam-levelling method further ensures color consistency between views. Experiments show that our method endows more sense of reality to inaccurate models and succeeds in maintaining temporal color consistency throughout a pre-defined sequence of viewpoints. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ICIS.2017.7959974 | 2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) |
Keywords | Field | DocType |
view dependent texturing,texture image generation,texture mapping | Computer vision,Projective texture mapping,Texture compression,Image texture,Bidirectional texture function,Computer science,Image segmentation,Solid modeling,Artificial intelligence,Texture atlas,Texture filtering | Conference |
ISBN | Citations | PageRank |
978-1-5090-5508-1 | 0 | 0.34 |
References | Authors | |
16 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhen Wang | 1 | 0 | 0.68 |
| Weidong Geng | 2 | 162 | 21.81 |