Revisiting Single-View Shape Tensors: Theory and Applications
نویسندگان
چکیده
Given the projection of a su cient number of points it is pos sible to algebraically eliminate the camera parameters and obtain view invariant functions of image coordinates and space coordinates These single view invariants have been introduced in the past however they are not as well understood as their dual multi view tensors In this paper we revisit the dual tensors bilinear trilinear and quadlinear both the gen eral and the reference plane reduced version and describe the complete set of synthetic constraints properties of the tensor slices reprojection equations non linear constraints and reconstruction formulas We then apply some of the new results such as the dual reprojection equations for multi view point tracking under occlusions
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