Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
530449 | Pattern Recognition | 2016 | 11 Pages |
•First application of Fisher encoding in 3D object retrieval.•The dFPFH extends FPFH, capturing more accurately local geometric transitions.•The proposed similarity addresses partiality.•The proposed method outperforms state-of-the-art in SHREC 2013 dataset.•The proposed method outperforms state-of-the-art in cultural heritage datasets.
Partial 3D object retrieval has attracted intense research efforts due to its potential for a wide range of applications, such as 3D object repair and predictive digitization. This work introduces a partial 3D object retrieval method, applicable on both point clouds and structured 3D models, which is based on a shape matching scheme combining local shape descriptors with their Fisher encodings. Experiments on the SHREC 2013 large-scale benchmark dataset for partial object retrieval, as well as on the publicly available Hampson pottery dataset, demonstrate that the proposed method outperforms seven recently evaluated partial retrieval methods.