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
Interesting idea of determining dense correspondences between images with strong viewpoint, using hierarchical correlation architecture, is introduced in REF .
DeepMatching: Hierarchical Deformable Dense Matching
International Journal of Computer Vision
International Journal of Computer Vision
Computer Science