Using region-based saliency for 3D interest points detection

Abstract

The detection of interest points is an important pre-processing step for the analysis of mesh surfaces. This paper proposes a new method for the detection of the interest points for 3D surfaces. We first use a smoothing process, then estimate the saliency employing a region-based detection method and select the interest points in terms of the entropy in due voxel. The evaluation is carried out by studying the repeatability of the detected interest points under different perceptual conditions, such as different viewpoints and noise corruption. The results show that the proposed method achieves better performance than competitors. © 2013 Springer-Verlag.