View-based object recognition using image lines

View-based recognition is a simple, relatively robust method for object recognition. Current techniques use small, simplistic object databases requiring, in many cases, large processing training and/or recognition times. We propose an extension to the view-based object recognition paradigm using lines of 2D image views together with a k-NN classifier that achieves high generalisation recognition rates with reduced computational times compared with other more elaborate recognition algorithms.