Contour migration: solving object ambiguity with shape-space visual guidance

TitleContour migration: solving object ambiguity with shape-space visual guidance
Publication TypeConference Papers
Year of Publication2002
AuthorsAbd-Almageed W, Smith CE
Conference NameIEEE/RSJ International Conference on Intelligent Robots and Systems, 2002
Date Published2002///
ISBN Number0-7803-7398-7
KeywordsArtificial intelligence, camera motion, CAMERAS, Computer vision, contour migration, Databases, edge detection, Intelligent robots, Laboratories, Machine vision, object ambiguity, Object recognition, pattern matching, Robot vision systems, servomechanisms, SHAPE, shape matching, shape-space visual guidance, silhouette matching, visual servoing

A fundamental problem in computer vision is the issue of shape ambiguity. Simply stated, a silhouette cannot uniquely identify an object or an object's classification since many unique objects can present identical occluding contours. This problem has no solution in the general case for a monocular vision system. This paper presents a method for disambiguating objects during silhouette matching using a visual servoing system. This method identifies the camera motion(s) that gives disambiguating views of the objects. These motions are identified through a new technique called contour migration. The occluding contour's shape is used to identify objects or object classes that are potential matches for that shape. A contour migration is then determined that disambiguates the possible matches by purposive viewpoint adjustment. The technique is demonstrated using an example set of objects.