2018
DOI: 10.1007/s13160-018-0335-7
|View full text |Cite
|
Sign up to set email alerts
|

Generalization of log-aesthetic curves via similarity geometry

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
6
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 6 publications
(6 citation statements)
references
References 17 publications
0
6
0
Order By: Relevance
“…Here we recall the notion of similarity curvature from [4,5]. Note that planar curves are determined by the similarity curvature uniquely up to similarity transformations.…”
Section: Preliminariesmentioning
confidence: 99%
See 2 more Smart Citations
“…Here we recall the notion of similarity curvature from [4,5]. Note that planar curves are determined by the similarity curvature uniquely up to similarity transformations.…”
Section: Preliminariesmentioning
confidence: 99%
“…One can see that the similarity curvature S is expressed by the Kummer confluent hypergeometric function and Tricomi confluent hypergeometric function (see [5] (p. 257)).…”
Section: Preliminariesmentioning
confidence: 99%
See 1 more Smart Citation
“…Though the presented methodology worked well for the motifs shown in this article, other quantitative analysis of the motifs can be performed to understand their aesthetic nature in a quantitative sense. As such, the methodology can be enriched by incorporating other faculties of thought regarding the free-form curve, e.g., log-aesthetic curve [29,30]. In addition, the data acquisition step of the presented methodology (i.e., the first half of the modeling domain shown in Figure 2) relies on human perception only.…”
Section: Virtual and Physical Prototypes Of Ainu Patternsmentioning
confidence: 99%
“…The class of log-aesthetic curves has concerned some researchers, as these have many applications in industrial and graphical design. Various formulations of these curves have been studied by Inoguchi, Albayari, and Lu et al [25][26][27][28]. These curves usually have a non-polynomial form.…”
Section: Introductionmentioning
confidence: 99%