Euclidean-distance-based canonical forms for non-rigid 3D shape retrieval

作者:

Highlights:

• Our method computes canonical forms of 3D meshes, without using geodesic distances.

• Our method maximises the Euclidean distance between a small set of feature points.

• Our method has a lower time complexity than other approaches yet provides comparable retrieval results.

摘要

Highlights•Our method computes canonical forms of 3D meshes, without using geodesic distances.•Our method maximises the Euclidean distance between a small set of feature points.•Our method has a lower time complexity than other approaches yet provides comparable retrieval results.

论文关键词:Shape retrieval,Canonical forms

论文评审过程:Received 11 November 2013, Revised 28 November 2014, Accepted 21 February 2015, Available online 2 March 2015.

论文官网地址:https://doi.org/10.1016/j.patcog.2015.02.021