Recognition, tracking, and pose estimation of arbitrarily shaped 3-D objects in cluttered intensity and range imagery

Autor:	Trevor Mudge, Paul G. Gottschalk, J. L. Turney, Arnold H. Chiu
Rok vydání:	1991
Předmět:	Geography business.industry Feature (computer vision) Motion estimation Computer vision Image segmentation Artificial intelligence Tracking (particle physics) 3D modeling business 3D pose estimation Pose Articulated body pose estimation
Zdroj:	Sensor Fusion III: 3D Perception and Recognition.
ISSN:	0277-786X
DOI:	10.1117/12.25247
Popis:	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.
Databáze:	OpenAIRE
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