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The method is immune to low levels of noise and has good behavior when the noise increases. The noise immunity is so high that even though the algorithm is intended only for translating objects, its accuracy is very high even if the object is also rotating (with a small rotation) around an axis pass ing through its center of mass. We provide a theoretical analysis of the robustness of our algorithm and present ex perimental results from the application of the theory to syn thetic and real images.<\/jats:p>","DOI":"10.1177\/027836499000900503","type":"journal-article","created":{"date-parts":[[2007,3,4]],"date-time":"2007-03-04T20:24:06Z","timestamp":1173039846000},"page":"35-59","source":"Crossref","is-referenced-by-count":5,"title":["A Robust, Correspondenceless, Translation- Determining Algorithm"],"prefix":"10.1177","volume":"9","author":[{"given":"Anup","family":"Basu","sequence":"first","affiliation":[{"name":"Computer Vision Laboratory Center for Automation Research and Computer Science Department and Institute for Advanced Computer Studies University of Maryland College Park, Maryland 20742"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Aloimonos","sequence":"additional","affiliation":[{"name":"Computer Vision Laboratory Center for Automation Research and Computer Science Department and Institute for Advanced Computer Studies University of Maryland College Park, Maryland 20742"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[1990,10,1]]},"reference":[{"key":"atypb1","volume-title":"Determining three-dimensional motion and structure from optical flow generated from several moving objects","author":"Adiv, G.","year":"1984"},{"key":"atypb2","volume-title":"Low level visual computations","author":"Aloimonos, J.","year":"1986"},{"key":"atypb3","first-page":"50","author":"Aloimonos, J.","year":"1990","journal-title":"Pattern Recognition"},{"key":"atypb4","volume-title":"Proc. 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