Title
Image-Based Hair Pre-processing for Art Creation: A Case Study of Bas-Relief Modelling
Abstract
To better capture the shapes as well as the rich dynamics of hair, image based modelling techniques have been developed for reconstructing their 3D geometry and important visual features. Most hair images contain inevitable noises which impair reconstructed hair models. Therefore we propose to pre-process hair images and provide an orientation map of hair strands to enhance the follow-on modelling. To demonstrate the usage of pre-processing techniques, we apply our pre-processing results for bas-relief stylisation and modelling of hair from image inputs. We compare different techniques to estimate hair orientations, adopting four types of filter mechanisms. Our analysis of their performance sheds insight on designing a suitable pre-processing technique for hair reconstruction from images. Several examples of bas-relief creation validate the effectiveness of the proposed approach.
Year
DOI
Venue
2015
10.1109/iV.2015.75
International Conference on Information Visualisation
Keywords
Field
DocType
hair, image pre-processing, image filtering, bas-relief
Computer vision,3d geometry,Image based,Artificial intelligence,Engineering,Image pre processing
Conference
ISSN
Citations 
PageRank 
1550-6037
0
0.34
References 
Authors
26
5
Name
Order
Citations
PageRank
Wenshu Zhang100.34
Jian Chang215731.43
Jian J. Zhang38013.36
Meili Wang4125.26
Ruofeng Tong546649.69