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In this paper we consider the problem of recovering the 3-dimensional Euclidian structure of a rigid object from multi-frame point correspondence data in a sequence of 2-D images obtained under perspective projection. The main idea is to recast the problem as the identification of an LTI system based on partial data. The main result of the paper shows that, under mild conditions, the lowest order system whose projections interpolate the 2-D data, yields (up to a single scaling constant) thedoi:10.1109/cdc.2009.5399578 dblp:conf/cdc/SznaierAC09 fatcat:u6ant5xnffejtgajla5odlrhru