Paper Info
Title
Interactive retexturing from unordered images
Abstract
The texture quality of 3D models, generated from either multi-view color images or color-depth images, mainly depends on the resolution of the images and the lighting condition used in the 3D reconstruction stage. It is often required to increase the texture quality or remove the unwanted artifacts such as seams or shadings without reinitiating the entire process. We propose an interactive method to seamlessly replace the low quality texture map of 3D models using unordered high resolution images taken later with different cameras. The camera pose of each new image is estimated using the nearest key-frame image with two-frame bundle adjustment. The new images with the estimated pose are then individually mapped onto the texture map. Finally the user-preferred regions in the specific images are seamlessly aligned with other texture patches in the combinatorial optimization framework. As demonstrated in the results, our approach significantly improves visual quality of textured 3D models while preserving the geometric details.
Year
DOI
Venue
2014
10.1109/URAI.2014.7057513
URAI
Keywords
Field
DocType
optimisation,textured 3d models,combinatorial optimization framework,interaction,unordered images,user-preferred regions,nearest key-frame image,combinatorial mathematics,3d modeling,retexturing,interactive retexturing,solid modelling,texture patches,image texture,low quality texture map,unordered high resolution images,visual quality,mesh generation,solid modeling,image resolution,color
Texture mapping,Computer vision,Computer graphics (images),Bundle adjustment,Image texture,Computer science,Combinatorial optimization,Solid modeling,Artificial intelligence,Image resolution,Mesh generation,3D reconstruction
Conference
ISSN
Citations 
PageRank 
2325-033X
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Jong-Ho Lee100.34
Hwasup Lim213813.63
Seong-Oh Lee372.30
Young-Woon Cha462.82
Hyoung-Gon Kim516420.34
Sang Chul Ahn624530.92