Color Stereo Image Retrieval Using A Residual CNN-Based Approach

This paper deals with color stereo image retrieval. The novelty lies in the adopted method to extract salient visual features from the texture and depth data. To this end, we will resort to deep neural networks, and more specifically the residual ones. Experiments on natural stereo image databases indicate the gain achieved by the proposed approach compared to conventional handcrafted feature based approaches.