We introduce a novel matching algorithm, called DeepMatching, to compute dense correspondences between images. DeepMatching relies on a hierarchical, multi-layer, correlational architecture designed for matching images and was inspired by deep convolutional approaches. The proposed matching algorithm can handle non-rigid deformations and repetitive textures and efficiently determines dense correspondences in the presence of significant changes between images. We evaluate the performance of DeepMatching
Recently, DeepMatching (DM) was proposed to compute dense correspondences between images which was inspired by deep convolutional approaches REF .
DeepMatching: Hierarchical Deformable Dense Matching
International Journal of Computer Vision
International Journal of Computer Vision
Computer Science