Timothy K. Shih
National Central University
493 Papers
2.2K Citations
Timothy K. Shih is an academic researcher from National Central University. The author has contributed to research in topics: Computer science & The Internet. The author has an hindex of 26, co-authored 477 publications. Previous affiliations of Timothy K. Shih include University of Aizu & Chung Hua University.
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Papers
Surface Construction from Kinect RGB-D Stream
W. G. C. W. Kumara,Timothy K. Shih,Hui-Huang Hsu,Shih-Jung Wu,Stanislav Klimenko,Andrei Klimenko +5 more
- 11 Oct 2016
TL;DR: An object surface extraction from a set of point clouds extracted using a Kinect V2 sensor is presented here.
Using interval temporal logic and inference rules for the automatic generation of multimedia presentations
Timothy K. Shih,S.K.C. Lo,Szu-Jan Fu,J.B. Chang +3 more
- 17 Jun 1996
TL;DR: Early experience of using the system shows that it is feasible to use logical inference rules to assist with the design of good multimedia presentations.
Adaptive digital image inpainting
Timothy K. Shih,Rong-Chi Chang,Liang-Chen Lu,Wen-Chieh Ko,Chun-Chia Wang +4 more
- 29 Mar 2004
TL;DR: An adaptive mechanism, which is based on a color interpolation mechanism that checks the surrounding information of a damaged pixel and decides the range of references that can be used to compute an interpolated color, is proposed.
A Design and Implementation of a SCORM-Based Courseware System Using Influence Diagram
TL;DR: This paper combines the concept and influence diagram as a courseware diagram which can be implemented as a new authoring tool to enhance interaction between students and teachers.
ArSL21L: Arabic Sign Language Letter Dataset Benchmarking and an Educational Avatar for Metaverse Applications
Ganzorig Batnasan,Munkh-Erdene Gochoo,Munkh-Erdene Otgonbold,Fady Alnajjar,Timothy K. Shih +4 more
- 28 Mar 2022
TL;DR: The collected and annotated Arabic Sign Language Letters Dataset (ArSL21L) consisting of 14202 images of 32 letter signs with various backgrounds collected from 50 people is presented and the prototype avatar which can mimic the ArSL (Arabic Sign Language) gestures for Metaverse applications is created.