Mapping core similarity among visual objects across image modalities
Humans have devised a wide range of technologies for creating visual representations of real-world objects. Some are ancient (e.g., line drawings using a stylus), while others are very modern (e.g., ptography and 3D computer graphics rendering). Despite large differences in the images produced by th...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computing Machinery (ACM)
2016
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| Online Access: | http://hdl.handle.net/1721.1/102402 https://orcid.org/0000-0002-1592-5896 |
| Summary: | Humans have devised a wide range of technologies for creating visual representations of real-world objects. Some are ancient (e.g., line drawings using a stylus), while others are very modern (e.g., ptography and 3D computer graphics rendering). Despite large differences in the images produced by these differing modalities (e.g., sparse contours in sketches vs. continuous hue variation in photographs), all are effective at evoking the original real-world object. |
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