Using Convolutional Neural Network Filters to Measure Left-Right Mirror Symmetry in Images

Using Convolutional Neural Network Filters to Measure Left-Right Mirror Symmetry in Images

We propose a method for measuring symmetry in images by using filter responses from Convolutional Neural Networks (CNNs). The aim of the method is to model human perception of left/right symmetry as closely as possible. Using the Convolutional Neural Network (CNN) approach has two main advantages: F...

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Bibliographic Details
Main Authors: Anselm Brachmann, Christoph Redies
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Symmetry
Subjects:
symmetry perception
continuous symmetry
convolutional neural networks
aesthetics
Online Access:http://www.mdpi.com/2073-8994/8/12/144

Internet

http://www.mdpi.com/2073-8994/8/12/144

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