Object recognition using random image-lines

摘要

View-based recognition is a conceptually 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. In this paper we propose an extension to the view-based object recognition paradigm based on the classification of lines subtending an object of 2D image views that achieves high generalisation recognition rates with reduced computational times.