Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.

Chih-Shing Ho

dblp:67/9703 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 1983
—ORCID · none

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

Artificial 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
Multimedia analysis and retrieval · 50% Image and video processing · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%

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

TopicWeightPapersLastEvidence papers
Image and video processing › feature extraction
geometric feature extraction
0.011983
Precision of Digital Vision Systems · IEEE Trans. Pattern Anal. Mach. Intell. 1983
Multimedia analysis and retrieval
image analysis
0.011983
Precision of Digital Vision Systems · IEEE Trans. Pattern Anal. Mach. Intell. 1983
Performance modeling and evaluation
benchmarking
0.011983
Precision of Digital Vision Systems · IEEE Trans. Pattern Anal. Mach. Intell. 1983

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

sampling · 0.0digitizing error analysis · 0.0
YearPublicationVenuePosition
1983 Precision of Digital Vision Systems
abstract
The precision of geometric features such as the centroid, area, perimeter, and orientation measured by a 2-D digital vision system is analyzed and tested experimentally. The digitizing error of various geometric features can be expressed in terms of the dimensionless perimeter of the object. As a result of this work, the sampling process can be simplified or eliminated. The analysis is also expanded to cover the 3-D digital vision systems.
Chih-Shing Ho
IEEE Trans. Pattern Anal. Mach. Intell.1