A framework for digital sunken relief generation based on 3D geometric models

This source preferred by Jian Chang and Jian Jun Zhang

Authors: Wang, M., Chang, J., Jens, K. and Zhang, J.J.

http://eprints.bournemouth.ac.uk/19431/

http://dx.doi.org/10.1007/s00371-011-0663-y

Journal: The Visual Computer

ISSN: 0178-2789

DOI: 10.1007/s00371-011-0663-y

Sunken relief is a special art form of sculpture whereby the depicted shapes are sunk into a given surface. This is traditionally created by laboriously carving materials such as stone. Sunken reliefs often utilize the engraved lines or strokes to strengthen the impressions of a 3D presence and to highlight the features which otherwise are unrevealed. In other types of reliefs, smooth surfaces and their shadows convey such information in a coherent manner. Existing methods for relief generation are focused on forming a smooth surface with a shallow depth which provides the presence of 3D figures. Such methods unfortunately do not help the art form of sunken reliefs as they omit the presence of feature lines. We propose a framework to produce sunken reliefs from a known 3D geometry, which transforms the 3D objects into three layers of input to incorporate the contour lines seamlessly with the smooth surfaces. The three input layers take the advantages of the geometric information and the visual cues to assist the relief generation. This framework alters existing techniques in line drawings and relief generation, and then combines them organically for this particular purpose.

This data was imported from Scopus:

Authors: Wang, M., Chang, J., Kerber, J. and Zhang, J.J.

http://eprints.bournemouth.ac.uk/19431/

Journal: Visual Computer

Pages: 1-11

eISSN: 1432-2315

ISSN: 0178-2789

This data was imported from Web of Science (Lite):

Authors: Wang, M., Chang, J., Kerber, J. and Zhang, J.J.

http://eprints.bournemouth.ac.uk/19431/

Journal: VISUAL COMPUTER

Volume: 28

Issue: 11

Pages: 1127-1137

eISSN: 1432-2315

ISSN: 0178-2789

DOI: 10.1007/s00371-011-0663-y

The data on this page was last updated at 04:59 on August 21, 2018.