Keypoints from symmetries by wave propagation
Samuele Salti, Alessandro Lanza, Luigi Di Stefano · 2013
The paper conjectures and demonstrates that repeatable keypoints based on salient symmetries at different scales can be detected by a novel analysis grounded on the wave equation rather than the heat equation underlying tradi-tional Gaussian scale–space theory. While the image struc-tures found by most state-of-the-art detectors, such as blobs and corners, occur typically on planar highly textured sur-faces, salient symmetries are widespread in diverse kinds of images, including those related to untextured objects, which are hardly dealt with by current feature-based recog-nition pipelines. We provide experimental results on stan-dard datasets and also contribute with a new dataset fo-cused on untextured objects. Based on the positive exper-imental results, we hope to foster further research on the promising topic of scale invariant analysis through the wave equation. 1.