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  • 2014
  • Issue No. 3 - March
  • Abstract - A Fair Comparison Should Be Based on the Same Protocol--Comments on "Trainable Convolution Filters and Their Application to Face Recognition"
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Liang Chen, Wenzhou University, China and University of Northern British Columbia, BC
We comment on a paper describing an image classification approach called Volterra kernel classifier, which was called Volterrafaces when applied to face recognition. The performances were evaluated by the experiments on face recognition databases. We find that their comparisons with the state of the art of three databases were indeed based on unfair settings. The results with the settings of the standard protocol on three data sets are generated, which show that Volterrafaces achieves the state-of-the-art performance only in one database.
Index Terms:
Protocols,Standards,Face recognition,Kernel,Computer vision,Training,Volterrafaces,Face recognition,filtering classifier,Volterra kernels
Citation:
Liang Chen, "A Fair Comparison Should Be Based on the Same Protocol--Comments on "Trainable Convolution Filters and Their Application to Face Recognition"," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 3, pp. 622-623, March 2014, doi:10.1109/TPAMI.2013.187
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