Amanote Research

Amanote Research

    RegisterSign In

Assessment of Registration Methods for Cranial 3D Modelling

Proceedings
doi 10.3390/proceedings2019019008
Full Text
Open PDF
Abstract

Available in full text

Date

July 15, 2019

Authors

Unknown

Publisher

MDPI AG


Related search

3d/2d Model-To-Image Registration for Quantitative Dietary Assessment

2012English

“Gold Standard” Data for Evaluation and Comparison of 3d/2d Registration Methods

Computer Aided Surgery
2004English

3d Modelling in the Registration and Restoration of a Megalithic Tomb

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2017English

Comparative Assessment of Density Functional Methods for 3d Transition-Metal Chemistry

Journal of Chemical Physics
MedicineTheoretical ChemistryAstronomyPhysicsPhysical
2006English

3d-Point-Cloud Registration and Real-World Dynamic Modelling-Based Virtual Environment Building Method for Teleoperation- CORRIGENDUM

Robotica
ControlSystems EngineeringSoftwareComputer Science ApplicationsMathematics
2017English

Spatiotemporal Modeling for Efficient Registration of Dynamic 3D Faces

2018English

Improving 3D Vision-Robot Registration for Assembly Tasks

2020English

Intraoperative Monitoring Methods for the Lower Cranial Nerves

Japanese Journal of Neurosurgery
SurgeryNeurology
2001English

Non-Rigid Registration for 3D Active Shape Liver Modeling

Advances in Science, Technology and Engineering Systems
EngineeringAstronomyPhysicsManagement of TechnologyInnovation
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy