Jinn-Yeu Jou

dblp:84/1792 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1989
—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 · 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 · 87% Image and video processing · 13%

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

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
surface reconstruction
0.011988
Improving visible-surface reconstruction · CVPR 1988
Geometric modeling and processing › surface reconstruction
visible-surface reconstruction
0.011988
Improving visible-surface reconstruction · CVPR 1988
Image and video processing
edge detection
0.011988
Improving visible-surface reconstruction · CVPR 1988

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

iterative reconstruction · 0.0constraint expansion · 0.0
YearPublicationVenuePosition
1989 Improved initial approximation and intensity-guided discontinuity detection in visible-surface reconstruction
Jinn-Yeu Jou, Alan C. Bovik
Comput. Vis. Graph. Image Process.1
1988 Improving visible-surface reconstruction
abstract
Techniques are described for improving the speed and accuracy of iterative visible-surface reconstruction algorithms. In particular, the importance of obtaining accurate early information is emphasized, both in the initial surface approximation and in the early localization of surface discontinuities. The first of these goals is attained using a simple technique known as constraint expansion, which yields a good initial approximation while accounting for detected discontinuities. The second goal is attained by using the locations of the image intensity edges as a guide in locating potential discontinuities.>
Jinn-Yeu Jou, Alan C. Bovik
CVPR1