Abstract: An image processing apparatus includes a display control unit configured to display cross-sectional images based on planes passing through positions designated for a plurality of items of three-dimensional image data; and a change unit configured to cooperatively rotate the planes around the designated positions and to change the cross-sectional images to be displayed.

Abstract: A linear algebraic transform is established that adjusts images to be rendered by a computing device to the human from a default rendering for the baseline normal visual acuity to an adjusted rendering for the deviated visual acuity. Before visually presenting the images to be rendered by the computing device the linear algebraic transform is applied, which results in the adjusted rendering of the images. The images of the adjusted rendering are visually presented after the linear algebraic transform has been applied. The human, with myopia, hyperopia, or both, is able to perceive the images of the adjusted rendering without using the one or more corrective lenses. The perceived images are perceived with approximately a baseline normal visual acuity for the human population.

Abstract: A mechanism for concurrently generating a plurality of meshes is disclosed. A region of a simulated environment for a simulation is determined. An area that bounds the region is determined. The area is decomposed into a plurality of polygons. Data identifying a first elevation layer at locations in the region and a second elevation layer at the locations in the region is accessed. At least some of the polygons are processed based on a first elevation layer metric associated with the first elevation layer and a second elevation layer metric associated with the second elevation layer to concurrently generate a first mesh and a second mesh that include the at least some of the polygons.

Abstract: An ultrasonic observation apparatus includes: a frequency analysis unit that calculates a frequency spectrum for each of a plurality of locations in a predetermined region of a subject by analyzing frequency of the ultrasonic wave at the plurality of locations; a frequency spectrum approximate equation calculation unit that calculates an approximate equation of the frequency spectrum at the each location calculated by the frequency analysis unit; a deviation calculation unit that calculates deviation between the frequency spectrum at the each location calculated by the frequency analysis unit and the approximate equation of the frequency spectrum calculated correspondingly with the frequency spectrum by the frequency spectrum approximate equation calculation unit; and a deviation display image data generation unit that generates information related to the deviation.

Abstract: Methods are provided for iteratively reconstructing an image signal to generate a reconstructed image signal. In one embodiment, sub-iterations of each iteration are performed on pixel or voxel subsets. The subsets may be composed of neighboring or spatially separated pixel or voxels and may extend in the z-direction. In one embodiment, an update step of the iterative reconstruction involves the direct inversion of an approximation of a Hessian matrix associated with the respective subsets. In further embodiments, non-negativity or other limitations or constraints on update values may be enforced.

Abstract: A method for object tracking is provided. The method may include identifying a first interest point, receiving a video frame, and detecting, via a processor, a second interest point in the video frame using a scale space image pyramid. The method may further include matching the second interest point with the first interest point, and determining a motion estimation based on the matched interest points. Similar apparatuses and computer program products are also provided.

Abstract: A method of performing a retinal examination is described wherein perimetry points are selected in three dimensional imaging data of the retinal tissue. The corresponding points in register with these perimetry points are mapped to an en-face image. These corresponding points are used as stimulus locations for a micro-perimetry examination.