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On seeing stuff: the perception of materials by humans and machines:
Open accessAbstract
The perception of objects is a well-developed field, but the perception of materials has been studied rather little. This is surprising given how important materials are for humans, and how important they must become for intelligent robots. We may learn something by looking at other fields in which material appearance is recognized as important. Classical artists were highly skilled at generating convincing materials. The simulation of material appearance is a topic of great importance in 3D computer graphics. Some fields, such as mineralogy, use the concept of a 'habit' which is a combination of shape and texture, and which may be used for characterizing certain objects or materials. We have recently taken steps toward material recognition by machines, using techniques derived from the domain of texture analysis.
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Kirillov, A., Mintun, E., Ravi, N., Mao, H., Rolland, C., Gustafson, L., Xiao, T., Whitehead, S., Berg, A. C., Lo, W.-Y., et al. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00371 · Cited by 11,953
“We did not impose semantic constraints for labeling objects, and annotators freely labeled both “stuff” and “things” [1].”
BackgroundSUN database: Large-scale scene recognition from abbey to zoo
Xiao, J., Hays, J., Ehinger, K. A., Oliva, A., & Torralba, A. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5539970 · Cited by 3,283
Unsupervised Visual Representation Learning by Context Prediction
Doersch, C., Gupta, A., & Efros, A. A. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.167 · Cited by 2,629
Kirillov, A., He, K., Girshick, R., Rother, C., & Dollár, P. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00963 · Cited by 1,659
Representational geometry: integrating cognition, computation, and the brain
Kriegeskorte, N., & Kievit, R. A. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.06.007 · Cited by 911
Metadata
- Authors
- Adelson, E. H.
- Venue
- SPIE Proceedings
- Publisher
- SPIE
- Published
- 2001-06-08
- Volume
- 4299
- Pages
- 1-12
- ISSN
- 0277-786X (ISSN-L)
- OpenAlex
- W2138203286
- Cited by
- 308
- References
- 0
- FWCI
- 2.38
- Type
- conference paper
- Language
- en
- Open access
- bronze
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