Multilinear Subspace Method Based on Geodesic Distance for Volumetric Object Classification

Hayato Itoh, Atsushi Imiya. Multilinear Subspace Method Based on Geodesic Distance for Volumetric Object Classification. In Mario Vento, Gennaro Percannella, editors, Computer Analysis of Images and Patterns - 18th International Conference, CAIP 2019, Salerno, Italy, September 3-5, 2019, Proceedings, Part I. Volume 11678 of Lecture Notes in Computer Science, pages 672-683, Springer, 2019. [doi]

Abstract

Abstract is missing.