Multi-local model image set matching based on domain description

作者：

Highlights：

• We propose a novel multi-local mode image set matching algorithm.

• It is the first attempt to introduce the SVDD to image set matching.

• We solve the set matching as an optimization problem via domain description.

• We formulate the image set matching as the distances between pair-wise domains.

• Experimental results demonstrate the superior performance of our approach.

摘要

Highlights•We propose a novel multi-local mode image set matching algorithm.•It is the first attempt to introduce the SVDD to image set matching.•We solve the set matching as an optimization problem via domain description.•We formulate the image set matching as the distances between pair-wise domains.•Experimental results demonstrate the superior performance of our approach.

论文关键词：Multi-local model,Domain description,Unsupervised image set matching,Set similarity,Clustering

论文评审过程：Received 13 March 2013, Revised 25 July 2013, Accepted 31 August 2013, Available online 12 September 2013.

论文官网地址：https://doi.org/10.1016/j.patcog.2013.08.025