A unifying framework for correspondence-less shape alignment and its medical applications

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

We give an overview of our general framework for registering 2D and 3D objects without correspondences. Classical solutions consist in extracting landmarks, establishing correspondences and then the aligning transformation is obtained via a complex optimization procedure. In contrast, our framework works without landmark correspondences, is independent of the magnitude of transformation, easy to implement, and has a linear time complexity. The efficiency and robustness of the method has been demonstarted using various deformations models. Herein, we will focus on medical applications.

Original languageEnglish
Title of host publicationIntelligent Interactive Technologies and Multimedia - Second International Conference, IITM 2013, Proceedings
PublisherSpringer Verlag
Pages40-52
Number of pages13
ISBN (Print)9783642374623
DOIs
Publication statusPublished - Jan 1 2013
Event2nd International Conference on Intelligent Interactive Technologies and Multimedia, IITM 2013 - Allahabad, India
Duration: Mar 9 2013Mar 11 2013

Publication series

NameCommunications in Computer and Information Science
Volume276 CCIS
ISSN (Print)1865-0929

Other

Other2nd International Conference on Intelligent Interactive Technologies and Multimedia, IITM 2013
CountryIndia
CityAllahabad
Period3/9/133/11/13

Keywords

  • 3D Object
  • Affine transformation
  • Bone Fracture
  • MRI
  • Prostate
  • Registration
  • Shape
  • TRUS
  • Thin plate splines

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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  • Cite this

    Kato, Z. (2013). A unifying framework for correspondence-less shape alignment and its medical applications. In Intelligent Interactive Technologies and Multimedia - Second International Conference, IITM 2013, Proceedings (pp. 40-52). (Communications in Computer and Information Science; Vol. 276 CCIS). Springer Verlag. https://doi.org/10.1007/978-3-642-37463-0_4