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James J. Kuch

dblp:69/5679 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1995
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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
Virtual and augmented reality · 77% Image and video coding · 23%
Artificial intelligence
1 paper
Face, body and person analysis · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › video compression
model-based coding
0.011995
Vision Based Hand Modeling and Tracking for Virtual Teleconferencing and Telecollaboration · ICCV 1995

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

single-camera fitting · 0.0model-based tracking · 0.0
YearPublicationVenuePosition
1995 Vision Based Hand Modeling and Tracking for Virtual Teleconferencing and Telecollaboration
abstract
The authors present a hand model that simultaneously satisfies both the synthesis and analysis requirements of model based compression. The model can be fitted to any person's hand and can be done using a single camera. Once the model is fitted to a real human hand, it is then used in several tracking scenarios in order to verify its effectiveness. With successful tracking achieved, the model is ready to be incorporated into a virtual environment or model based compression scheme such as sign language communication over telephone lines or virtual teleconferences over computer networks at very low bit rates and at very high image quality.>
James J. Kuch, Thomas S. Huang
ICCV1