Multi-Modal Dense Correspondence Imaging System

摘要

A multi-modal dense correspondence image processing system submit the multi-modal images to a neural network to produce multi-modal features for each pixel of each of the multi-modal image. Each multi-modal image includes an image of a first modality and a corresponding image of a second modality different from the first modality. The neural network includes a first subnetwork trained to extract first features from pixels of the first modality, a second subnetwork trained to extract second features from pixels of the second modality, and a combiner configured to combine the first features and the second features to produce multi-modal features of a multi-modal image. The system compares the multi-modal features of a pair of multi-modal images to estimate a dense correspondence between pixels of the multi-modal images of the pair and outputs the dense correspondence between pixels of the multi-modal images in the pair.