Presentation

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Points as Tori: Fast Pointwise Signed Distance for Point Clouds
SessionCreating & Iso-Surfacing SDFs
DescriptionSigned distance computation has been either fast or robust, but not both. We explain why, using a theory that unifies signed distance with reconstruction. Our method directly estimates signed distance from point clouds, providing fast pointwise evaluation at arbitrary spatial resolution, without requiring discretization, global optimization, or explicit reconstruction.
Authors
Nicole Feng
Carnegie Mellon University
Ioannis Gkioulekas
Carnegie Mellon University
Keenan Crane
Carnegie Mellon University
Roblox Research
Event Type
Technical Paper
TimeMonday, 20 July 20263:45pm - 3:55pm PDT
LocationRoom 408 B
Digital Library PDF
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Monday, 20 July 20263:45pm - 5:35pm PDTRoom 408 B
Keywords
Geometry
Modeling
Registration Categories
Full Conference Supporter
Full Conference
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