3D registration of depth data of porous surface coatings based on 3D phase correlation and the trimmed ICP algorithm

Nina Loftfield; Markus Kästner; Eduard Reithmeier

doi:10.1117/12.2269781

26 June 2017 3D registration of depth data of porous surface coatings based on 3D phase correlation and the trimmed ICP algorithm

Nina Loftfield, Markus Kästner, Eduard Reithmeier

Author Affiliations +

Proceedings Volume 10333, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III; 1033310 (2017) https://doi.org/10.1117/12.2269781
Event: SPIE Optical Metrology, 2017, Munich, Germany

Abstract

A critical factor of endoprostheses is the quality of the tribological pairing. The objective of this research project is to manufacture stochastically porous aluminum oxide surface coatings with high wear resistance and an active friction minimization. There are many experimental and computational techniques from mercury porosimetry to imaging methods for studying porous materials, however, the characterization of disordered pore networks is still a great challenge. To meet this challenge it is striven to gain a three dimensional high resolution reconstruction of the surface. In this work, the reconstruction is approached by repeatedly milling down the surface by a fixed decrement while measuring each layer using a confocal laser scanning microscope (CLSM). The so acquired depth data of the successive layers is then registered pairwise. Within this work a direct registration approach is deployed and implemented in two steps, a coarse and a fine alignment. The coarse alignment of the depth data is limited to a translational shift which occurs in horizontal direction due to placing the sample in turns under the CLSM and the milling machine and in vertical direction due to the milling process itself. The shift is determined by an approach utilizing 3D phase correlation. The fine alignment is implemented by the Trimmed Iterative Closest Point algorithm, matching the most likely common pixels roughly specified by an estimated overlap rate. With the presented two-step approach a proper 3D registration of the successive depth data of the layer is obtained.

Citation Download Citation

Nina Loftfield, Markus Kästner, and Eduard Reithmeier "3D registration of depth data of porous surface coatings based on 3D phase correlation and the trimmed ICP algorithm", Proc. SPIE 10333, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III, 1033310 (26 June 2017); https://doi.org/10.1117/12.2269781

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Confocal microscopy

Data acquisition

Laser scanners

Manufacturing

Mercury

Microscopes

3D metrology

Show All Keywords

Keywords/Phrases

Search In:

Publication Years