Which Parts Determine the Impression of the Font?
This work addresses a domain-specific problem in typography and design by providing insights into font perception, but it is incremental as it builds on existing methods like SIFT and DeepSets for a new application.
The paper tackled the problem of understanding which local shapes in fonts correlate with specific impressions like legible or rough, by analyzing fonts using a combination of SIFT and DeepSets to extract and aggregate parts for nonlinear regression. The results showed that fonts with similar parts have similar impressions, many impressions depend on specific parts, and some impressions are largely irrelevant to parts.
Various fonts give different impressions, such as legible, rough, and comic-text.This paper aims to analyze the correlation between the local shapes, or parts, and the impression of fonts. By focusing on local shapes instead of the whole letter shape, we can realize letter-shape independent and more general analysis. The analysis is performed by newly combining SIFT and DeepSets, to extract an arbitrary number of essential parts from a particular font and aggregate them to infer the font impressions by nonlinear regression. Our qualitative and quantitative analyses prove that (1)fonts with similar parts have similar impressions, (2)many impressions, such as legible and rough, largely depend on specific parts, (3)several impressions are very irrelevant to parts.