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Bao-Xuan Xu

dblp:150/1492 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none

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

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 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › curve reconstruction
3d curve reconstruction
0.212014
True2Form: 3D curve networks from 2D sketches via selective regularization · ACM Trans. Graph. 2014
Geometric modeling and processing › shape modeling
sketch-based modeling
0.212014
True2Form: 3D curve networks from 2D sketches via selective regularization · ACM Trans. Graph. 2014

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

symmetry detection · 0.2selective regularization · 0.2
YearPublicationVenuePosition
2014 True2Form: 3D curve networks from 2D sketches via selective regularization
abstract
True2Formis a sketch-based modeling system that reconstructs 3D curves from typical design sketches. Our approach to infer 3D form from 2D drawings is a novel mathematical framework of insights derived from perception and design literature. We note that designers favor viewpoints that maximally reveal 3D shape information, and strategically sketch descriptive curves that convey intrinsic shape properties, such as curvature, symmetry, or parallelism. Studies indicate that viewers apply these properties selectively to envision a globally consistent 3D shape. We mimic this selective regularization algorithmically, by progressively detecting and enforcing applicable properties, accounting for their global impact on an evolving 3D curve network. Balancing regularity enforcement against sketch fidelity at each step allows us to correct for inaccuracy inherent in free-hand sketching. We perceptually validate our approach by showing agreement between our algorithm and viewers in selecting applicable regularities. We further evaluate our solution by: reconstructing a range of 3D models from diversely sourced sketches; comparisons to prior art; and visual comparison to both ground-truth and 3D reconstructions by designers.
Bao-Xuan Xu, Alla Sheffer, Adrien Bousseau, James McCrae, Karan Singh 0004
ACM Trans. Graph.1