2 papers
cs.CV2019
Evaluating CNNs on the Gestalt Principle of Closure
Gregor Ehrensperger, Sebastian Stabinger, Antonio Rodríguez Sánchez
Deep convolutional neural networks (CNNs) are widely known for their outstanding performance in classification and regression tasks over high-dimensional data. This made them a pop…
cs.CV2015
Fast algorithms for morphological operations using run-length encoded binary images
Gregor Ehrensperger, Alexander Ostermann, Felix Schwitzer
This paper presents innovative algorithms to efficiently compute erosions and dilations of run-length encoded (RLE) binary images with arbitrary shaped structuring elements. An RLE…