Li, L.Wang, H.Chin, T.Suter, D.Zhang, S.2011-06-202011-06-202010Proceedings, 2010 3rd International Congress on Image and Signal Processing : CISP 2010, vol. 4 / Zheng-Hua Tan, Yi Wan, Tao Xiang & Yibin Song (eds.): pp. 1586-15899781424465163http://hdl.handle.net/2440/64726An effective method for retrieving 3D models is to represent and discriminate them with their 2D images projected from multiple viewpoints. Such view-based methods conform more closely to human visual recognition for 3D model retrieval, since the human retina essentially captures 2D images. However, most of the existing view-based methods do not take into account that different views have different importance even though they belong to the same object. To address this problem, we propose a novel view-based method for 3D CAD model retrieval. First, the PHOG descriptor is employed to describe the 2D images projected from a model. Then, Lagrange multipliers, vector quantization and a Support Vector Machine (SVM) are used to adaptively assign an optimal weight to each projected image. The similarity between a 3D query model and a 3D object in database is determined by the likeness of their corresponding 2D images associated with optimal weights. The effectiveness of the proposed method is shown in the experimental part.en©2010 IEEEContent-based 3D model retrievalLagrange mulitpliersPHOGSVMvector quantizationConference paper002010545010.1109/CISP.2010.56469522-s2.0-7865052668731175Suter, D. [0000-0001-6306-3023]