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- W2243340640 abstract "Motion information is a primary cue to image representation and image understanding. A low-level processing methodology for rigid object motion analysis based on feature correspondence approach is discussed. The methodology utilize perturbation and optimal control theory for motion parameters estimation. The technique has the characteristic that does not require apriori knowledge of the structure of the object, and can handle a number of frames simultaneously. The validation of the methodology using synthetic images and the application to real images are presented. The advantage of motion analysis using long image sequences are discussed. The technique calls for intensity-domain features, e.g. corner locations. A computation efficient corner operator is developed to locate corner features from intensity image. To initialize the processing, object rigidity is analyzed using angle conservation property. One particular advantage of this methodology is to relax constant motion limitation. Applications of the methodology in non-constant object motion with six degrees of freedom are considered." @default.
- W2243340640 created "2016-06-24" @default.
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- W2243340640 date "1989-01-01" @default.
- W2243340640 modified "2023-09-23" @default.
- W2243340640 title "Motion analysis with long image sequences" @default.
- W2243340640 hasPublicationYear "1989" @default.
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