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Nathan Gossett

dblp:18/3605 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Geometric modeling and processing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
3d reconstruction
0.112007
Knowledge and heuristic-based modeling of laser-scanned trees · ACM Trans. Graph. 2007
Geometric modeling and processing
point cloud processing
0.112007
Knowledge and heuristic-based modeling of laser-scanned trees · ACM Trans. Graph. 2007
Geometric modeling and processing › shape analysis
skeleton extraction
0.112007
Knowledge and heuristic-based modeling of laser-scanned trees · ACM Trans. Graph. 2007
Geometric modeling and processing › procedural modeling
tree modeling
0.112007
Knowledge and heuristic-based modeling of laser-scanned trees · ACM Trans. Graph. 2007

Methods — techniques the papers use, named apart from their topics

mesh generation · 0.1allometric theory · 0.1
YearPublicationVenuePosition
2007 Knowledge and heuristic-based modeling of laser-scanned trees
abstract
We present a semi-automatic and efficient method for producing full polygonal models of range scanned trees, which are initially represented as sparse point clouds. First, a skeleton of the trunk and main branches of the tree is produced based on the scanned point clouds. Due to the unavoidable incompleteness of the point clouds produced by range scans of trees, steps are taken to synthesize additional branches to produce plausible support for the tree crown. Appropriate dimensions for each branch section are estimated using allometric theory. Using this information, a mesh is produced around the full skeleton. Finally, leaves are positioned, oriented and connected to nearby branches. Our process requires only minimal user interaction, and the full process including scanning and modeling can be completed within minutes.
Hui Xu 0002, Nathan Gossett, Baoquan Chen
ACM Trans. Graph.2