Abstract
Automatic bas-relief generation from 2D photographs potentially has applications to coinage, commemorative medals and souvenirs. However, current methods are not yet ready for real use in industry due to insufficient artistic effect, noticeable distortion, and unbalanced contrast. We previously proposed a shape-from-shading (SFS) based method to automatically generate bas-reliefs from single frontal photographs of human faces; however, suppression of unwanted details remained a problem. Here, we give experimental results showing how incorporating non-photorealistic rendering (NPR) into our previous framework enables us to both suppress unwanted detail, and yet also emphasize important features. We have consider an alternative approach to recovering relief shape, based on photometric stereo instead of SFS for surface orientation estimation. This can effectively reduce the computational time.
Original language | English |
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Pages (from-to) | 202-213 |
Number of pages | 12 |
Journal | Graphical Models |
Volume | 76 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2014 Jul |
Bibliographical note
Funding Information:This work was supported by the One Wales Research Institute of Visual Computing (RIVIC) funded by a grant from the Welsh Government. We are grateful to Marc Alexa, Jinhui Yu, and Zhuwen Li for providing us their results for comparison, and to other researchers who have made various data publicly available. We also wish to thank Delcam and The Royal Mint for their support and useful discussions.
Keywords
- Bas-relief
- Non-photorealistic rendering
- Photometric stereo
- Shape-from-shading
ASJC Scopus subject areas
- Software
- Modelling and Simulation
- Geometry and Topology
- Computer Graphics and Computer-Aided Design