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In this report we consider the problem of 3D object recognition, and the role that perceptual grouping processes must play. In particular, we argue that a single level of perceptual grouping is inadequate, and that reliance on a single level of grouping is responsible for the speciic weaknesses of several well-known recognition techniques. Instead, we argue(More)
Appearance-based object recognition systems rely on training from imagery, which allows the recognition of objects without requiring a 3D geometric model. It has been little explored whether such systems can be trained from imagery that is unlabeled, and whether they can be trained from imagery that is not trivially segmentable. In this paper we present a(More)
In this paper we present a vision system that analyzes the gestures of a noted conductor conducting a real orchestra, a different approach from previous work that allowed users to conduct virtual orchestras with prerecorded scores. We use a low-resolution video sequence of a live performance of the Boston Symphony Orchestra, and we track the conductor's(More)