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Bastien Gorissen

dblp:85/10458 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—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%
Theoretical computer science
1 paper
Mathematical optimization · 100%

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

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › spatial data structures
bounding volume hierarchy
0.112011
Fast oriented bounding box optimization on the rotation group SO(3, ℝ) · ACM Trans. Graph. 2011
Mathematical optimization › continuous optimization
unconstrained optimization
0.012011
Fast oriented bounding box optimization on the rotation group SO(3, ℝ) · ACM Trans. Graph. 2011

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

rotation group optimization · 0.2nelder-mead algorithm · 0.2genetic algorithm · 0.2
YearPublicationVenuePosition
2011 Fast oriented bounding box optimization on the rotation group SO(3, ℝ)
abstract
An exact algorithm to compute an optimal 3D oriented bounding box was published in 1985 by Joseph O'Rourke, but it is slow and extremely hard to implement. In this article we propose a new approach, where the computation of the minimal-volume OBB is formulated as an unconstrained optimization problem on the rotation group SO (3,ℝ). It is solved using a hybrid method combining the genetic and Nelder-Mead algorithms. This method is analyzed and then compared to the current state-of-the-art techniques. It is shown to be either faster or more reliable for any accuracy.
Chia-Tche Chang, Bastien Gorissen, Samuel Melchior
ACM Trans. Graph.2