42 lines
1.7 KiB
Markdown
42 lines
1.7 KiB
Markdown
---
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created_at: '2015-03-02T13:33:50.000Z'
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title: Structure-based ASCII Art (2010)
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url: http://www.cse.cuhk.edu.hk/~ttwong/papers/asciiart/asciiart.html
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author: noelwelsh
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points: 45
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story_text: ''
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comment_text:
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num_comments: 10
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story_id:
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story_title:
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story_url:
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parent_id:
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created_at_i: 1425303230
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_tags:
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- story
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- author_noelwelsh
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- story_9131732
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objectID: '9131732'
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year: 2010
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---
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The wide availability and popularity of text-based communication
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channels encourage the usage of ASCII art in representing images.
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Existing tone-based ASCII art generation methods lead to halftone-like
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results and require high text resolution for display, as higher text
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resolution offers more tone variety. This paper presents a novel method
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to generate *structure-based* ASCII art that is currently mostly created
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by hand. It approximates the major line structure of the reference image
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content with the shape of characters. Representing the unlimited image
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content with the extremely limited shapes and restrictive placement of
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characters makes this problem challenging. Most existing shape
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similarity metrics either fail to address the misalignment in real-world
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scenarios, or are unable to account for the differences in position,
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orientation and scaling. Our key contribution is a novel
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*alignment-insensitive shape similarity (AISS) metric* that tolerates
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misalignment of shapes while accounting for the differences in position,
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orientation and scaling. Together with the constrained deformation
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approach, we formulate the ASCII art generation as an optimization that
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minimizes *shape dissimilarity* and *deformation*. Convincing results
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and user study are shown to demonstrate its effectiveness.
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