Author/Authors :
Lian، نويسنده , , Zhouhui and Godil، نويسنده , , Afzal and Bustos، نويسنده , , Benjamin and Daoudi، نويسنده , , Mohamed and Hermans، نويسنده , , Jeroen and Kawamura، نويسنده , , Shun and Kurita، نويسنده , , Yukinori and Lavoué، نويسنده , , Guillaume and Van Nguyen، نويسنده , , Hien and Ohbuchi، نويسنده , , Ryutarou and Ohkita، نويسنده , , Yuki and Ohishi، نويسنده , , Yuya and Porikli، نويسنده , , Fatih and Reuter، نويسنده , , Martin and Sipiran، نويسنده , , Ivan and Smeets، نويسنده , , Dirk and Suetens، نويسنده , , Paul and Tabia، نويسنده , , Hedi and Vandermeulen، نويسنده , , Dirk، نويسنده ,
Abstract :
Non-rigid 3D shape retrieval has become an active and important research topic in content-based 3D object retrieval. The aim of this paper is to measure and compare the performance of state-of-the-art methods for non-rigid 3D shape retrieval. The paper develops a new benchmark consisting of 600 non-rigid 3D watertight meshes, which are equally classified into 30 categories, to carry out experiments for 11 different algorithms, whose retrieval accuracies are evaluated using six commonly utilized measures. Models and evaluation tools of the new benchmark are publicly available on our web site [1].
