New Interest Points Detector for 3D Objects Recognition
Youness Abouqora, Omar Herouane, Lahcen Moumoun, Taoufiq Gadi · International journal of intelligent engineering and systems · 2019
The interest point detection is a technique for reducing the amount of data that needs to be processed in certain applications, this technique is widely used in 2D and 3D image analysis.In this paper, we introduce a new method for detecting the mesh interest points based on geometric measures.The key point of this new approach is to extract a satisfactory 3D interest points with a high repeatability and relevant distribution of the whole object.It consists of two steps: an interest point detection and a refinement post-processing.First, we compute the Harris operator function, that is robust to several transformations, around each vertex to selects the maximal responses as candidates of 3D interest points.Second, we use the shape index-based optimization method to select the final interest points with high curvedness.The performance of the proposed method is evaluated and it proves encouraging results.