Title :
Perspective Invariant Angle Ordering
Author :
Shaw, David ; Barnes, Nick
Author_Institution :
Dept. Inf. Eng., Australian Nat. Univ., Canberra, ACT, Australia
Abstract :
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.
Keywords :
computational geometry; feature extraction; object recognition; feature point; localisation; object recognition; perspective invariant angle ordering; planar surfaces; straight bag-of-features; Cameras; Detectors; Face detection; Face recognition; Humans; Image recognition; Object detection; Object recognition; Shape; Testing; bag-of-features; feature points; geometric algorithms; localisation; object recognition; real-time;
Conference_Titel :
Digital Image Computing: Techniques and Applications, 2009. DICTA '09.
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4244-5297-2
Electronic_ISBN :
978-0-7695-3866-2
DOI :
10.1109/DICTA.2009.50
