Abstract: A method for recognizing a three-dimensional (3D) model is described. The method includes obtaining a sketch of the object and generating a skeleton view of the sketch. A first shape-description vector is determined by processing the sketch through a first convolutional neural network (CNN), and a second shape-description vector is determined by processing the skeleton view through a second CNN. A feature-description vector is identified from a descriptor database based on a concatenated vector of the first shape-description vector and the second shape-description vector. The descriptor database stores feature-description vectors obtained by training the first CNN and the second CNN over a plurality of 3D models. A 3D model of the object corresponding to the feature-description vector is identified from the plurality of 3D models.