Surface Parametrization and Curvature Measurement of Arbitrary 3-D Objects: Five Practical Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Robust Feature Detection and Local Classification for Surfaces Based on Moment Analysis
IEEE Transactions on Visualization and Computer Graphics
Robust Feature Classification and Editing
IEEE Transactions on Visualization and Computer Graphics
Robust feature extraction based on principal curvature direction
CVM'12 Proceedings of the First international conference on Computational Visual Media
Hi-index | 0.00 |
In order to complete the work on the 3D SUSAN operator, an extraction of principal saliency degrees and direction is proposed. This will lead the proposed operator to a complete classification of vertices in five different classes: cavity points, valley points, flat points, prong points and salient points. To assess the operator, we propose two different studies. The robustness to the resolution and the regularity of meshes is presented for three different operators. To complete the evaluation, the robustness to noise is analysed, for the Stokely and the SUSAN operator. Our conclusion presents the benefits, drawbacks of the technique and future works.