Boosted complex moments for discriminant rotation invariant object recognition

This paper proposes a method for constructing a discriminative rotation invariant object recognition system from the set of complex moments by using a multi-class boosting algorithm. Experimental results show that a large of number images can be discriminated accurately with only a small number of features. This basically means economy of computational effort in feature acquisition and also possibility of higher speed in recognition task.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Pew-Thian Yap, Xudong Jiang, Alex ChiChung Kot
• Keywords: Computer Vision, ICPR 2008, Invariant Object Recognition, Multi-class Boosting Algorithm, Recognition Task