Jerry L. Turney

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The problem of recognizing an object from a partially occluded boundary image is considered, and the concept of saliency of a boundary segment is introduced. Saliency measures the extent to which the boundary segment distinguishes the object to which it belongs from other objects which might be present. An algorithm is presented which optimally determines(More)
An important task in computer vision is the recognition of partially visible two-dimensional objects in a gray scale image. Recent works addressing this problem have attempted to match spatially local features from the image to features generated by models of the objects. However, many algorithms are considerably less efficient than they might be, typically(More)
An important task in computer vision is the recognition of partially visible two-dimensional objects in a gray scale image. Recent works addressing this problem have attempted to match spatially local features from the image to features generated by models of the objects. However, many algorithms are less efficient than is possible. This is due primarily to(More)
A unified approach to three stages of robot arm control is presented based on the Newton-Euler equations of motion. The stages unified are resolved motion, gross motion, and fine motion. Apart from the conceptual advantage, this unification can require less computation than if the three stages are computed separately. In particular, fewer computations are(More)
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