Field-Aware Parameterization for 3D Painting Conference Paper

abstract

• Springer Nature Switzerland AG 2019. We present a two-phase method that generates a near-isometric parameterization using a local chart of the surface while still being aware of the geodesic metric. During the first phase, we utilize a novel method that approximates polar coordinates to obtain a preliminary parameterization as well as the gradient of the geodesic field. For the second phase, we present a new optimization that generates a near isometric parameterization while considering the gradient field, allowing us to generate high quality parameterizations while keeping the geodesic information. This local parameterization is applied in a view-dependent 3D painting system, providing a local adaptive map computed at interactive rates.

authors

• Keyser, John

published proceedings

• ADVANCES IN COMPUTER GRAPHICS, CGI 2019

author list (cited authors)

• Xu, S., Li, H., & Keyser, J.

citation count

• 0

complete list of authors

• Xu, Songgang||Li, Hang||Keyser, John

publication date

• January 2019

publisher

• Springer Nature  Publisher

published in

• Lecture Notes in Computer Science  Journal

keywords

• Geodesic
• Painting System
• Parameterization

Digital Object Identifier (DOI)

• 10.1007/978-3-030-22514-8_11

International Standard Book Number (ISBN) 13

• 978-3-030-22513-1

start page

• 131

end page

• 142

volume

• 11542

URL

• http://dx.doi.org/10.1007/978-3-030-22514-8_11