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Estimation of Shape and Relative Motion for Partially Resolved Objects in Optically Acquired Imagery

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West Virginia University Research Corporation Morgantown United States

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This work aimed to advance 2D image and 3D mesh processing techniques for partially resolved space objects. Over the course of this project, we made advancements in the following areas construction of a 3D scale space and finding salient features keypoints in this scale space, graph-based methods for matching keypoints of a newly observed object with a catalog of known objects, 3D shape modeling from sequences of silhouette images, recognition of a partially resolved object in a 2D image with a convolutional neural network, analytic corrections for bearing bias of partially resolved objects.

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Technical Report,01 Apr 2015,01 Apr 2019



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Approved For Public Release;

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