This chapter proposes a representation of rigid three-dimensional (3D) objects in terms of local affine-invariant descriptors of their images and the spatial relationships between ...
Fred Rothganger, Svetlana Lazebnik, Cordelia Schmi...
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
This paper proposes a novel human action recognition approach which represents each video sequence by a cumulative skeletonized images (called CSI) in one action cycle. Normalized-...
The table recognition literature contains many strategies specified informally as a sequence of operations, obscuring both models of table structure and the effects of individual...
Richard Zanibbi, Dorothea Blostein, James R. Cordy
One of the most widely used approaches in the context of object recognition across illumination changes consists in comparing the images by means of the intersection between invar...