3D Atlas created and maintained by the UC Common Knowledge Group on 3D Data.
The 3D Scanning Data Atlas provides qualitative, quantitative, and visual information to effectively evaluate how the 3D scanners available across the UC Library system interact with different types of materials and how they compare to one another. The objects chosen for 3D scanning represent various material properties important in the 3D scanning process. We hope the 3D Scanning Data Atlas enables campus constituents to make informed decisions about which 3D scanning option best fits their education and research needs and provides librarians and library staff with data to make informed purchases.
UC Berkeley: Annalise Phillips (past CKG member)
UCLA Acknowledges: Francesca Albrezzi, Bianca Badajos, Doug Daniels, Chris Gilman, and the Data Science Center.
UCSC Acknowledges: Kristina Golubiewski-Davis, Joshua Tuthill, Dino Raphael, Nami Lee
UCSF Acknowledges: Dylan Romero and Jenny Tai
UCR Acknowledges:Brendon Wheeler, Alvaro Alvarez
3D Data Atlas is hosted through pointcloud.ucla.edu
Funding for the 3D Scanning Data Atlas project was provided through a Librarians Association of the University of California (LAUC) Mini Grant.