S, Shaheen, L, Affara, B. Ghanem
Convolutional sparse coding (CSC) plays an essential role in many
computer vision applications ranging from image compression to deep
learning. In this work, we spot the light on a new application where CSC
can effectively serve, namely line drawing analysis. The process of
drawing a line drawing can be approximated as the sparse spatial
localization of a number of typical basic strokes, which in turn can be
cast as a non-standard CSC model that considers the line drawing
formation process from parametric curves. These curves are learned to
optimize the fit between the model and a specific set of line drawings.
Parametric representation of sketches is vital in enabling automatic
sketch analysis, synthesis and manipulation. A couple of sketch
manipulation examples are demonstrated in this work. Consequently, our
novel method is expected to provide a reliable and automatic method for
parametric sketch description. Through experiments, we empirically
validate the convergence of our method to a feasible solution.