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B. H. Kim

dblp:90/1836 · DBLP profile ↗
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4ranked-venue papers
2as first author
0since 2021 · last 2010
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-authorArtificial intelligence and machine learning · 1Systems, architecture and hardware · 1Theory of computation · 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
2 papers
Geometric modeling and processing · 51% Computational fabrication · 33% Image and video processing · 15%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication › machining
sculptured surface machining		 0.011994
Effect of cutter mark on surface roughness and scallop height in sculptured surface machining · Comput. Aided Des. 1994
Image and video processing
texture analysis		 0.011999
Texture prediction of milled surfaces using texture superposition method · Comput. Aided Des. 1999
Computational fabrication
tool path generation		 0.011994
Effect of cutter mark on surface roughness and scallop height in sculptured surface machining · Comput. Aided Des. 1994
YearPublicationVenuePosition
2010 The Steiner Ratio Conjecture of Gilbert-Pollak May Still Be Open
N. Innami, B. H. Kim, Y. Mashiko, K. Shiohama
 Algorithmica2
1999 A study on pose determination of a mobile/task robot for manipulating using active calibration method
abstract
Introduces a methodology of recognizing the position of a mobile/task robot using an active calibration method. The major problem residing in the precise control of a mobile/task robot is providing an accurate and stable base for the task robot through precise control of the mobile robot. The paper proposes a methodology for the precise control of the mobile robot and the active calibration, which recognizes the position of the mobile robot using the camera attached at the hand of the task robot. This method is applied to the manipulation of polygonal and cylindrical objects. This active calibration method is different from the passive calibration, which is performed by using a calibration grid. The active calibration method finds an algorithm to actively compensate camera and robot pose through the correspondence of point, line and conic of an assembly part by using the geometric property during robot operation. Experimental results show that the mobile/task robot improves the task efficiency and compensates actively the pose using the object's model through the active calibration method.
Jang-Myung Lee, M. Y. Han, B. H. Kim, K. Son, Jae Weon Choi, Seung-Hyun Han
 IROS3
1999 Texture prediction of milled surfaces using texture superposition method
B. H. Kim, C. N. Chu
 Comput. Aided Des.1
1994 Effect of cutter mark on surface roughness and scallop height in sculptured surface machining
B. H. Kim, C. N. Chu
 Comput. Aided Des.1