An Efficient High-density Kinematic Invariant Picking Method for Stereotomography Based on Structure Tensors

The efficiency and effectiveness of the stereotomography is highly dependent on the quality of its data space, the so-called kinematic invariant. The structure tensor is a very robust tool for the slope estimation. In this abstract, we present a highly efficient high-density kinematic invariant picking method based on structure tensors. Compared with the conventional slope search methods, the presented technique can improve the computational efficiency by one or two orders of magnitudes which will greatly enhance the applicability of the stereomography.