Classifying and Solving Minimal Structure and Motion Problems with Missing Data

In this paper we investigate the structure and motion problem for calibrated one-dimensional projections of a two-dimensional environment. In a previous paper the structure and motion problem for all cases with non-missing data was classified and solved. Our aim is here to classify all structure and motion problems, even those with missing data, and to solve them. Although our focus here is on onedimensional retina, the classification part works equally well for ordinary cameras, and we give some results for those as well.

• Type: Conference
• Year: 2001
• Where: ICCV
• Authors: Kalle Åström, Magnus Oskarsson, Niels Chr. Overgaard
• Keywords: Computer Vision, ICCV 2001, Motion Problem, Motion Problems, One-dimensional Projections, Two-dimensional Environment