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Invariant object recognition using circular pairwise convolutional networks

Teo, Choon-Hui; Tay, Yong Haur


Invariant object recognition (IOR) has been one of the most active research areas in computer vision. However, there is no technique able to achieve the best performance in all possible domains. Out of many techniques, convolutional network (CN) is proven to be a good candidate in this area. Given large numbers of training samples of objects under various variation aspects such as lighting, pose, background, etc., convolutional network can learn to extract invariant features by itself. This...[Show more]

CollectionsANU Research Publications
Date published: 2006
Type: Book chapter


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