Perturbation Robust Representations of Topological Persistence Diagrams

ECCV 2018 Anirudh SomKowshik ThopalliKarthikeyan Natesan RamamurthyVinay VenkataramanAnkita ShuklaPavan Turaga

Topological methods for data analysis present opportunities for enforcing certain invariances of broad interest in computer vision, including view-point in activity analysis, articulation in shape analysis, and measurement invariance in non-linear dynamical modeling. The increasing success of these methods is attributed to the complementary information that topology provides, as well as availability of tools for computing topological summaries such as persistence diagrams... (read more)

PDF Abstract

Evaluation results from the paper


  Submit results from this paper to get state-of-the-art GitHub badges and help community compare results to other papers.