Geometric motion segmentation and model selection

Philip H. S. Torr · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · 1998

this paper we place the three problems into a common statistical framework; investigating the use of information criteria and robust mixture models as a principled way for motion segmentation of images. The final result is a general fully automatic algorithm for clustering that works in the presence of noise and outliers. 1. Introduction

Read the paper · More papers on PaperTik