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Jiaqing Shao

dblp:97/8474 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

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

Artificial intelligence and machine learning · 1

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 · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

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

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
shape analysis
0.112010
Irregular Shape Symmetry Analysis: Theory and Application to Quantitative Galaxy Classification · IEEE Trans. Pattern Anal. Mach. Intell. 2010
Geometric modeling and processing › shape analysis
symmetry analysis
0.112010
Irregular Shape Symmetry Analysis: Theory and Application to Quantitative Galaxy Classification · IEEE Trans. Pattern Anal. Mach. Intell. 2010
Computational science and engineering
astronomy
0.012010
Irregular Shape Symmetry Analysis: Theory and Application to Quantitative Galaxy Classification · IEEE Trans. Pattern Anal. Mach. Intell. 2010

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

symmetry measures · 0.2geometric transformation · 0.2
YearPublicationVenuePosition
2010 Irregular Shape Symmetry Analysis: Theory and Application to Quantitative Galaxy Classification
abstract
This paper presents a set of imperfectly symmetric measures based on a series of geometric transformation operations for quantitatively measuring the "amount" of symmetry of arbitrary shapes. The definitions of both bilateral symmetricity and rotational symmetricity give new insight into analyzing the geometrical property of a shape and enable characterizing arbitrary shapes in a new way. We developed a set of criteria for quantitative galaxy classification using our proposed irregular shape symmetry measures. Our study has demonstrated the effectiveness of the proposed method for the characterization of the shape of the celestial bodies. The concepts described in the paper are applicable to many fields, such as mathematics, artificial intelligence, digital image processing, robotics, biomedicine, etc.
Falei Guo, Jiaqing Shao
IEEE Trans. Pattern Anal. Mach. Intell.3