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Yi-Bo Kou

dblp:389/6882 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0001-7011-6135ORCID · reported

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › mesh processing › feature preservation
sharp feature preservation
0.812024
Adaptive Spline Surface Fitting With Arbitrary Topological Control Mesh · IEEE Trans. Vis. Comput. Graph. 2024
Geometric modeling and processing
surface fitting
0.812024
Adaptive Spline Surface Fitting With Arbitrary Topological Control Mesh · IEEE Trans. Vis. Comput. Graph. 2024

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

iterative refinement · 0.8adaptive control point adjustment · 0.8G-NURBS · 0.8
YearPublicationVenuePosition
2024 Adaptive Spline Surface Fitting With Arbitrary Topological Control Mesh
abstract
Reconstructing a spline surface from a given arbitrary topological triangle mesh is a fundamental and challenging problem in computer-aided design and engineering. This article introduces a novel surface fitting method utilizing G-NURBS capable of handling control meshes with arbitrary topologies. This method employs adaptive control point adjustment, guided by the geometric attributes of the input model, ensuring precise representation of sharp features such as edges and corners. Two primary strategies are employed: A parameter correspondence approach designed for sharp features and a control mesh iterative refinement technique that incorporates geometrical feature information. The proposed method has been tested and evaluated on various CAD models to demonstrate its effectiveness. This method can achieve higher fitting accuracy while faithfully preserving the geometrical features with fewer control points.
Yi-Bo Kou, Yifei Feng 0001, Li-Yong Shen, Xin Li 0021, Chun-Ming Yuan
IEEE Trans. Vis. Comput. Graph.1