科研之友
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摘要
With the development of image acquisition devices and the popularity of smart phones, more and more people would like to upload their photos to diverse social networks. It is hard to guarantee the quality and artistry of these photos because of not everyone is a professional photographer. In order to handle this problem and further help each common user to improve the beauty of photos, we propose an intelligent photo pose recommendation method to recommended professional photo pose according to everyone's posture in viewfinder. Firstly, the CNN model (VGG-16) is utilized to extract the global features for each photo. Secondly, the salient region detection method is leveraged to extract the regions of interest in each photo. To represent the edge distribution in the local regions, we extract the histogram of oriented gradients. Finally, we propose an effective feature fusion method based on CCA to generate the global visual features for each photo. We implement the Euclidean distance to handle the similarity measure between uploaded photos and the professional photos. The most similar professional photo will be utilized to guide user photo composition. In order to evaluate the performance of the proposed method, we collected a set of professional photos form some professional photography websites. The comparison experiments and user study demonstrate the superiority of the proposed approach.
- 出版日期2018-9
- 单位天津师范大学
