Rule-Based Automatic Generation of Logo Designs
Bibliographic Data
| ID | 3358119 |
|---|---|
| Authors | Yi-Na Li (Nankai University), Yina Li (0000-0002-5479-5174, Nankai University, corresponding author), Kang Zhang (0000-0003-3802-7535, The University of Texas at Dallas, corresponding author), Dong-Jin Li (Nankai University, corresponding author) |
| Year | 2017 |
| Volume | 50 |
| Issue | 2 |
| Pages | 177-181 |
| Publication date | 2017-04-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Leonardo (JOURNAL) |
| Journal identifiers | ISSN: 0024-094X • E-ISSN: 1530-9282 |
| Publisher | MIT Press - Journals (PUBLISHER) |
| DOI | 10.1162/leon_a_00961 |
| OpenAlex | W1964937535 |
| Language | EN |
| Citations received | 1 |
| References cited | 1 |
This article proposes the application of shape grammar to the automatic generation of logo designs based on artists' logo creation knowledge and visual structures of logos. The authors propose a set of rules to encode the design knowledge and enable automatic generation. They then present an experiment that was conducted to validate the feasibility of the proposed approach
ENCODE · Engineering drawing · Grammar · Human–computer interaction · Linguistics · Logo (programming language) · Logos Bible Software · Natural language processing · Programming language · Set (abstract data type) · Artificial Intelligence · Color perception and design · Computer Science · Design Education and Practice · Engineering · Human Motion and Animation
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.2 |
| Citation span | 2021 - 2021 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |