An Effective Generic Lasso Selection Tool for Multiselection

Abstract

Multiselection is widely available in the graphical user interfaces of common applications, often through rectangular or row-wise selection tools. Lasso selection, though often provided in image manipulation applications, is uncommon in applications of everyday selection tasks. Lasso selection would be a useful addition for many applications. This thesis presents an effective and generic implementation of lasso selection. Its effectiveness is achieved by making the computation incremental: only the elements affected by the extension of the selection path are inspected. The solution is generic, easily reused in new selection contexts.