Morgenstern et al., 2021 - Google Patents
An image-computable model of human visual shape similarityMorgenstern et al., 2021
View HTML- Document ID
- 4508055204384303009
- Author
- Morgenstern Y
- Hartmann F
- Schmidt F
- Tiedemann H
- Prokott E
- Maiello G
- Fleming R
- Publication year
- Publication venue
- PLoS computational biology
External Links
Snippet
Shape is a defining feature of objects, and human observers can effortlessly compare shapes to determine how similar they are. Yet, to date, no image-computable model can predict how visually similar or different shapes appear. Such a model would be an …
- 230000000007 visual effect 0 title description 29
Classifications
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- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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