TY - GEN
T1 - Multi-scale salient feature extraction on mesh models
AU - Yang, Yong-Liang
AU - Shen, Chao-Hui
PY - 2012
Y1 - 2012
N2 - We present a new method of extracting multi-scale salient features on meshes. It is based on robust estimation of curvature on multiple scales. The coincidence between salient feature and the scale of interest can be established straightforwardly, where detailed feature appears on small scale and feature with more global shape information shows up on large scale. We demonstrate this multi-scale description of features accords with human perception and can be further used for several applications as feature classification and viewpoint selection. Experiments exhibit that our method as a multi-scale analysis tool is very helpful for studying 3D shapes.
AB - We present a new method of extracting multi-scale salient features on meshes. It is based on robust estimation of curvature on multiple scales. The coincidence between salient feature and the scale of interest can be established straightforwardly, where detailed feature appears on small scale and feature with more global shape information shows up on large scale. We demonstrate this multi-scale description of features accords with human perception and can be further used for several applications as feature classification and viewpoint selection. Experiments exhibit that our method as a multi-scale analysis tool is very helpful for studying 3D shapes.
UR - http://dx.doi.org/10.1007/978-3-642-34263-9_16
U2 - 10.1007/978-3-642-34263-9_16
DO - 10.1007/978-3-642-34263-9_16
M3 - Chapter in a published conference proceeding
SN - 9783642342622
T3 - Lecture Notes in Computer Science
SP - 122
EP - 129
BT - Computational Visual Media
PB - Springer
CY - Berlin, Germany
T2 - First International Conference on Computational Visual Media (CVM), 2012
Y2 - 8 November 2012 through 10 November 2012
ER -