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Hwang-Soo Kim

dblp:96/6276 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2005
—ORCID · none

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

Artificial intelligence and machine learning · 3 · 3 first-authorSystems, architecture and hardware · 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.

Artificial intelligence
1 paper
3D vision · 56% Image recognition and object detection · 44%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision › 3d object recognition
multi-view object recognition		 0.011985
Object recognition using multiple views · ICRA 1985
Computer vision › Image recognition and object detection
object recognition		 0.011985
Object recognition using multiple views · ICRA 1985

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

model-based recognition · 0.0
YearPublicationVenuePosition
2005 Color image segmentation by gravitational clustering in color space using neighbor-relationship
Hwang-Soo Kim, Hwajeong Lee
 ICINCO1
2002 Image coding by fitting RBF-surfaces to subimages
Hwang-Soo Kim
 Pattern Recognit. Lett.1
1985 Object recognition using multiple views
abstract
A new approach to model based object recognition employing multiple views is described. The emphasis is given on the determination of camera viewpoints for succesive views looking for distinguishing features of objects. The distance and direction of the camera are determined separately. The distance is determined by the size of the object and the feature, while the direction is determined by the shape of the feature and the presence of the occluding objects.
Hwang-Soo Kim, Ramesh Jain 0001, Richard A. Volz
 ICRA1