Concerns the estimation of the motion parameters of a rigid body from noisy point matches made on perspective views. A minimization problem which permits relatively robust parameter estimation and helps overcome poor ...
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Concerns the estimation of the motion parameters of a rigid body from noisy point matches made on perspective views. A minimization problem which permits relatively robust parameter estimation and helps overcome poor zoom estimation when the field-of-view is small is formulated. It is assumed that the motion has a small rotary component, interframe differences are small, and the errors in the system are due to independently distributed errors in the components of the displacement vectors. A fast procedure for minimization is exposited, in which the parameter set is partitioned and conditional generalized least-squares formulas identified. Recursive application of these provides the search space for the minimization problem. Comparative results are presented using simulated data and displacement vectors obtained from an intensity-based matching algorithm.","doi":"10.1109/34.61709","publicationTitle":"IEEE Transactions on Pattern Analysis and Machine Intelligence","startPage":"1092","endPage":"1098","rightsLink":"http://***/AppDispatchServlet?publisherName=ieee&publication=0162-8828&title=An+iterated+estimation+of+the+motion+parameters+of+a+rigid+body+from+noisy+displacement+vectors&isbn=&publicationDate=Nov.+1990&author=J.+Aisbett&ContentID=10.1109/34.61709&orderBeanReset=true&startPage=1092&endPage=1098&volumeNum=12&issueNum=11","displayPublicationTitle":"IEEE Transactions on Pattern Analysis and Machine Intelligence","pdfPath":"/iel5/34/2246/***","keywords":[{"type":"IEEE Keywords","kwd":["Motion estimation","Robustness","Parameter estimation","Partitioning algorithms"]},{"type":"INSPEC: Controlled Indexing","kwd":["picture processing","iterative methods","minimisation","noise","parameter estimation","pattern recognition"]},{"type":"INSPEC: Non-Controlled Indexing","kwd":["conditional generalized least-squares formulas","parameter set partitioning","recursive methods","iterated estimation","noisy displacement vectors","motion parameters","no
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