Skip to Main content Skip to Navigation
Journal articles

3D-2D projective registration of free-form curves and surfaces

Jacques Feldmar 1 Nicholas Ayache 1, * Fabienne Betting
* Corresponding author
1 EPIDAURE - Medical imaging and robotics
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Some medical interventions require knowing the correspondence between an MRI/CT image and the actual position of the patient. Examples occur in neurosurgery and radiotherapy, but also in video surgery (laparoscopy). We present in this paper three new techniques for performing this task without artificial markers. To do this, we find the 3D-2D projective transformation (composition of a rigid displacement and a perspective projection) which maps a 3D object onto a 2D image of this object. Depending on the object model (curve or surface), and on the 2D image acquisition system (X-Ray, video), the techniques are different but the framework is common: Results are presented on a variety of real medical data to demonstrate the validity of our approach.
Complete list of metadata

Cited literature [21 references]  Display  Hide  Download

https://hal.inria.fr/inria-00615041
Contributor : Project-Team Asclepios <>
Submitted on : Wednesday, August 17, 2011 - 11:19:22 PM
Last modification on : Saturday, January 27, 2018 - 1:32:19 AM
Long-term archiving on: : Monday, November 12, 2012 - 3:30:30 PM

File

FeldmarCVIU1997.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Jacques Feldmar, Nicholas Ayache, Fabienne Betting. 3D-2D projective registration of free-form curves and surfaces. Computer Vision and Image Understanding, Elsevier, 1997, 65 (3), pp.403-424. ⟨10.1006/cviu.1996.0499⟩. ⟨inria-00615041⟩

Share

Metrics

Record views

226

Files downloads

496