Visual Psychology Research on the Invariant Feature and Performance of Texture Recognition

Autor:	Jian-qing Liu, Qi Xu
Rok vydání:	2017
Předmět:	business.industry Computer science Invariant feature Psychological research Human visual system model Pattern recognition Artificial intelligence Invariant (physics) business Scaling Visual resolution Texture recognition Spatial invariance
Zdroj:	DEStech Transactions on Social Science, Education and Human Science.
ISSN:	2475-0042
DOI:	10.12783/dtssehs/icssm2017/10299
Popis:	Designed three visual psychological experiments to explore human ability on transformed texture discrimination and classical texture classification, and make some comparisons between human beings and computer algorithms. Some interesting results are obtained from these visual psychological experiments: (1) the invariance performance of sevral computer algorithms is appropriate to human beings; (2) texture is almost rotation invariant for human beings although single “b” and single “p” have significant different comprehension; (3) texture appearance depends on visual resolution. The biggest invariant scale of spatial scaling is roughly 2.3 times for human visual system at some fixed observation conditions; (4) some computer algorithms (such as MBF and Gabor) have achieved better performance than human beings under some restrictive conditions for fair comparison.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2b9dec1057d029e34ab3b3c2a2adb11e https://doi.org/10.12783/dtssehs/icssm2017/10299 Zobrazit plný text záznamu