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- W2001547792 abstract "Algorithms for recognition, tracking, and pose estimation of 3-d objects in intensity imagery commonly assume that features are the result of imaging surface landmarks. This assumption is most commonly violated when a feature is detected on an occluding boundary generated by a smoothly curving surface. We have developed a method that can recognize, track, and determine the pose of arbitrarily shaped, partially visible 3-d objects in both intensity and range imagery. We describe the results of tests on real intensity imagery and synthetic range imagery." @default.
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- W2001547792 date "1991-04-01" @default.
- W2001547792 modified "2023-09-25" @default.
- W2001547792 title "<title>Recognition, tracking, and pose estimation of arbitrarily shaped 3-D objects in cluttered intensity and range imagery</title>" @default.
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- W2001547792 doi "https://doi.org/10.1117/12.25247" @default.
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