Perspective Invariant Angle Ordering

Autor:	D. D. Shaw, Nick Barnes
Rok vydání:	2009
Předmět:	Planar Robustness (computer science) business.industry Feature extraction Cognitive neuroscience of visual object recognition Computer vision Artificial intelligence Invariant (mathematics) Geometric property business Algorithm Bag of features Mathematics
Zdroj:	DICTA
DOI:	10.1109/dicta.2009.50
Popis:	In this paper we present the geometric property of perspective invariant angle ordering; the order of angles between point features. We describe how this can be used to exploit the structure of the appearance of features on planar or near planar surfaces to improve precision for localisation and object recognition. We show test results on real-world images that show marked improvement over straight bag-of-features approaches.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::84b5f5e6aef46d68742e18e163eb6375 https://doi.org/10.1109/dicta.2009.50 Zobrazit plný text záznamu