An Application of Manifold Learning in Global Shape Descriptors

Autor: Bashiri, Fereshteh S., Rostami, Reihaneh, Peissig, Peggy, D'Souza, Roshan M., Yu, Zeyun

With the rapid expansion of applied 3D computational vision, shape descriptors have become increasingly important for a wide variety of applications and objects from molecules to planets. Appropriate shape descriptors are critical for accurate (and e

Externí odkaz: http://arxiv.org/abs/1901.02508

Multi-Modal Medical Image Registration with Full or Partial Data: A Manifold Learning Approach.

Autor: Bashiri FS; Department of Electrical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA., Baghaie A; Department of Electrical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA., Rostami R; Department of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA., Yu Z; Department of Electrical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.; Department of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA., D'Souza RM; Department of Mechanical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.

Publikováno v: Journal of imaging [J Imaging] 2018 Dec 30; Vol. 5 (1). Date of Electronic Publication: 2018 Dec 30.