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The paper deals with projective shape and motion reconstruction by subspace iterations. A prerequisite of factorization-style algorithms is that all feature points need be observed in all images, a condition which is hardly realistic in real videos. We therefore address the problem of estimating structure and motion considering missing features. The proposed algorithm does not require initialization and uniformly handles all available data. The computed solution is global in the sense that itdoi:10.1109/cvmp.2011.15 dblp:conf/cvmp/AckermannR11 fatcat:5nvwkxh5kzh4pcynjugoonh6pi