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 |
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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 |
| _version_ | 1826207495489585152 |
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| author | Fan, Judith E. DiCarlo, James Turk-Browne, Nicholas B. Yamins, Daniel L. K. |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Fan, Judith E. DiCarlo, James Turk-Browne, Nicholas B. Yamins, Daniel L. K. |
| author_sort | Fan, Judith E. |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T13:50:31Z |
| format | Article |
| id | mit-1721.1/102402 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:50:31Z |
| publishDate | 2016 |
| publisher | Association for Computing Machinery (ACM) |
| record_format | dspace |
| spelling | mit-1721.1/1024022022-10-01T17:28:41Z Mapping core similarity among visual objects across image modalities Fan, Judith E. DiCarlo, James Turk-Browne, Nicholas B. Yamins, Daniel L. K. Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences McGovern Institute for Brain Research at MIT Yamins, Daniel L. K. DiCarlo, James 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. 2016-05-04T17:08:07Z 2016-05-04T17:08:07Z 2014-08 Article http://purl.org/eprint/type/ConferencePaper 9781450329583 http://hdl.handle.net/1721.1/102402 Judith E. Fan, Daniel Yamins, James DiCarlo, and Nicholas B. Turk-Browne. 2014. Mapping core similarity among visual objects across image modalities. In ACM SIGGRAPH 2014 Posters (SIGGRAPH '14). ACM, New York, NY, USA, Article 67, 1 page https://orcid.org/0000-0002-1592-5896 en_US http://dx.doi.org/10.1145/2614217.2630594 ACM SIGGRAPH 2014 Posters (SIGGRAPH '14) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) MIT web domain |
| spellingShingle | Fan, Judith E. DiCarlo, James Turk-Browne, Nicholas B. Yamins, Daniel L. K. Mapping core similarity among visual objects across image modalities |
| title | Mapping core similarity among visual objects across image modalities |
| title_full | Mapping core similarity among visual objects across image modalities |
| title_fullStr | Mapping core similarity among visual objects across image modalities |
| title_full_unstemmed | Mapping core similarity among visual objects across image modalities |
| title_short | Mapping core similarity among visual objects across image modalities |
| title_sort | mapping core similarity among visual objects across image modalities |
| url | http://hdl.handle.net/1721.1/102402 https://orcid.org/0000-0002-1592-5896 |
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