Presentation

<
A Linear Method to Consistently Orient Normals of a 3D Point Cloud
SessionShape Analysis
DescriptionConsistently orienting the normals of a point cloud is vital for subsequent geometry processing. We use Stokes' theorem to turn this problem into finding the least-squares solution of a sparse linear system. Our method successfully orients normals computed locally from a point cloud and is considerably faster than state-of-the-art methods.
Authors
Craig Gotsman
New Jersey Institute of Technology (NJIT)
Kai Hormann
Università della Svizzera Italiana
Event Type
Technical Paper
TimeMonday, 29 July 20242:10pm - 2:20pm MDT
LocationMile High 3C
ACM Digital Library Journal Papers' PDFs
Conference Papers' PDFs
Session Time & Location
Sunday, 28 July 20246:00pm - 8:45pm MDTBluebird Ballroom
Monday, 29 July 20242:00pm - 3:30pm MDTMile High 3C
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Geometry
Modeling
Registration Categories
Full Conference
Full Conference Supporter
Virtual Access
Exhibitor Full Conference
Monday
Next PresentationNext PresentationDifferentiable Geodesic Distance for Intrinsic Minimization on Triangle Meshes