Study of the influence of parameter settings for local invariant object recognition
Anant Choksuriwong, Christophe Rosenberger, Bruno Emile · Proceedings of the Annual Conference of the IEEE Industrial Electronics Society · 2006
Even if lots of object invariant descriptors have been proposed in the literature, putting them into practice in order to obtain a robust system face to several perturbations is still a studied problem. Comparative studies between the most commonly used descriptors put into obviousness the invariance of Zernike moments for simple geometric transformations and their ability to discriminate objects. Whatever, these moments can reveal themselves insufficiently robust face to perturbations such as partial object occultation or presence of a complex background. In order to improve the system performances, we propose in this article to quantify the influence of parameter settings for an invariant local object recognition approach using Zernike descriptors