Full interpretation of minimal images
@article{BenYosef2018FullIO, title={Full interpretation of minimal images}, author={Guy Ben-Yosef and Liav Assif and S. Ullman}, journal={Cognition}, year={2018}, volume={171}, pages={65-84} }
The goal in this work is to model the process of 'full interpretation' of object images, which is the ability to identify and localize all semantic features and parts that are recognized by human observers. The task is approached by dividing the interpretation of the complete object to the interpretation of multiple reduced but interpretable local regions. In such reduced regions, interpretation is simpler, since the number of semantic components is small, and the variability of possible… Expand
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References
SHOWING 1-10 OF 91 REFERENCES
Recognition-by-components: a theory of human image understanding.
- Mathematics, Medicine
- Psychological review
- 1987
- 5,497
- PDF
Context and Hierarchy in a Probabilistic Image Model
- Computer Science
- 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)
- 2006
- 200
- PDF
Extracting Subimages of an Unknown Category from a Set of Images
- Mathematics, Computer Science
- 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)
- 2006
- 103
- PDF
Representation and recognition of the spatial organization of three-dimensional shapes
- Mathematics, Medicine
- Proceedings of the Royal Society of London. Series B. Biological Sciences
- 1978
- 2,306
- PDF
Formation of visual “objects” in the early computation of spatial relations
- Computer Science, Medicine
- Perception & psychophysics
- 2007
- 78
- PDF
Atoms of recognition in human and computer vision
- Computer Science, Medicine
- Proceedings of the National Academy of Sciences
- 2016
- 109
- PDF