Demo Data from EDBT 2026 / reviewers in the wild / expert
Erik L. J. Bohez
dblp:39/6574
· DBLP profile ↗
9ranked-venue papers
4as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 8 · 3 first-authorArtificial intelligence and machine learning · 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
7 papers |
Computational fabrication · 76% Geometric modeling and processing · 24% | |
| Theoretical computer science
1 paper |
Computational geometry · 100% |
Topics — the 6 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational fabrication
computer-aided manufacturing |
0.1 | 3 | 2007 | Systematic geometric rigid body error identification of 5-axis milling machines · Comput. Aided Des. 2007 The stencil buffer sweep plane algorithm for 5-axis CNC tool path verification · Comput. Aided Des. 2003 Compensating for systematic errors in 5-axis NC machining · Comput. Aided Des. 2002 |
Geometric modeling and processing
accessibility analysis |
0.1 | 1 | 2009 | A new global accessibility algorithm for a polyhedral model with convex polygonal facets · Comput. Aided Des. 2009 |
Computational fabrication
additive manufacturing |
0.1 | 1 | 2007 | Statistical analysis of the stereolithographic process to improve the accuracy · Comput. Aided Des. 2007 |
Computational fabrication › additive manufacturing
stereolithography |
0.1 | 1 | 2007 | Statistical analysis of the stereolithographic process to improve the accuracy · Comput. Aided Des. 2007 |
Computational fabrication
tool path verification |
0.0 | 1 | 2003 | The stencil buffer sweep plane algorithm for 5-axis CNC tool path verification · Comput. Aided Des. 2003 |
Computational fabrication › machining
5-axis machining |
0.0 | 1 | 2002 | Compensating for systematic errors in 5-axis NC machining · Comput. Aided Des. 2002 |
Methods — techniques the papers use, named apart from their topics
sweep plane algorithm · 0.1statistical analysis · 0.1design of experiments · 0.1stencil buffer sweep plane algorithm · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | A new global accessibility algorithm for a polyhedral model with convex polygonal facets
Kittichai Suthunyatanakit, Erik L. J. Bohez, Kittinan Annanon |
Comput. Aided Des. | 2 |
| 2007 | Systematic geometric rigid body error identification of 5-axis milling machines
Erik L. J. Bohez, Bancha Ariyajunya, Chanin Sinlapeecheewa, Tin Maung Maung Shein, Do Tien Lap, Gustavo Belforte |
Comput. Aided Des. | 1 |
| 2007 | Statistical analysis of the stereolithographic process to improve the accuracy
S. L. Campanelli, G. Cardano, R. Giannoccaro, A. D. Ludovico, Erik L. J. Bohez |
Comput. Aided Des. | 5 |
| 2007 | The sweep plane algorithm for global collision detection with workpiece geometry update for five-axis NC machining
T. D. Tang, Erik L. J. Bohez, Pisut Koomsap |
Comput. Aided Des. | 2 |
| 2005 | Intelligent feature based process planning for five-axis latheabstractThe main objective of this paper is to propose a new machining feature definition model focused on 5D-machining features. The machining features describing a Prisronal part, which includes both prismatic and rotational features, are introduced. The unique model is not only taking into account geometric entities, manufacturing aspects but also including machining processes and knowledge-based rules for intelligent process planning system of five-axis lathe. Geometric entities are specified by defining feature parameters corresponding to the shape of feature. Manufacturing aspects include properties of blank part, settings up and technological data like tolerances and surface finishing. Machining processes and knowledge-based rules attached with each feature are used as constraints to guide the system for automatically selecting suitable machining operations. Various examples of 3D & 5D-machining feature attached with knowledge-based for machining those features by five-axis lathe are shown. Finally, the pilot implementation of machining features for operation selection is demonstrated using the expert system shell named Visual Rule Studio/spl trade/ from Rule Machines corporation. Kriangkrai Waiyagan, Erik L. J. Bohez |
CAD/Graphics | 2 |
| 2004 | Optimization of rotations of a five-axis milling machine near stationary points
Mud-Armeen Munlin, Stanislav S. Makhanov, Erik L. J. Bohez |
Comput. Aided Des. | 3 |
| 2003 | The stencil buffer sweep plane algorithm for 5-axis CNC tool path verification
Erik L. J. Bohez, Nguyen Thi Hong Minh, Ben Kiatsrithanakorn, Peeraphan Natasukon, Huang Ruei-Yun, Le Thanh Son |
Comput. Aided Des. | 1 |
| 2002 | Compensating for systematic errors in 5-axis NC machining
Erik L. J. Bohez |
Comput. Aided Des. | 1 |
| 2001 | Speech recognition using fractals
Erik L. J. Bohez, T. R. Senevirathne |
Pattern Recognit. | 1 |