4818 results about "In plane" patented technology

A method and system for providing a magnetic element that can be used in a magnetic memory is disclosed. The magnetic element includes pinned, nonmagnetic spacer, and free layers. The spacer layer resides between the pinned and free layers. The free layer can be switched using spin transfer when a write current is passed through the magnetic element. The magnetic element may also include a barrier layer, a second pinned layer. Alternatively, second pinned and second spacer layers and a second free layer magnetostatically coupled to the free layer are included. At least one free layer has a high perpendicular anisotropy. The high perpendicular anisotropy has a perpendicular anisotropy energy that is at least twenty and less than one hundred percent of the out-of-plane demagnetization energy.

A method and system is provided for registering a 2D radiographic image of a target with previously generated 3D scan data of the target. A reconstructed 2D image is generated from the 3D scan data. The radiographic 2D image is registered with the reconstructed 2D images to determine the values of in-plane transformation parameters (x, y, θ) and out-of-plane rotational parameters (r, Φ), where the parameters represent the difference in the position of the target in the radiographic image, as compared to the 2D reconstructed image. An initial estimate for the in-plane transformation parameters is made by a 3D multi-level matching process, using the sum-of-square differences similarity measure. Based on these estimated parameters, an initial 1-D search is performed for the out-of-plane rotation parameters (r, Φ), using a pattern intensity similarity measure. The in-plane parameters (x, y, θ) and out-of-plane parameters (r, Φ) are iteratively refined, until a desired accuracy is reached.

In methods, systems, and computer program products for locating a regularly configured object within a digital image, a plurality of primary rotated integral images of the digital image are computed. Each primary rotated integral image has a different in-plane rotation. A set of secondary rotated integral images are derived from each of the primary rotated integral images. The secondary rotated integral images have further in-plane rotations relative to the respective primary rotated integral image. A window is defined within the digital image and corresponding windows of the rotated integral images. The values of convolution sums of a predetermined set of feature boxes within the window, in each of the rotated integral images are extracted. The dimensionality of the convolution sums is reduced to provide a set of reduced sums. A probability model is applied to the reduced sums to provide a best estimated derotated image of the window.