Abstract: A method for simulating a graphical object. The method comprises monitoring approximate distance between a first graphical object and a second graphical object, the first graphical object having at least a first particle and the second graphical object having at least a second particle; detecting a collision (P220) between the first particle and the second particle; computing (P230) a first set of forces associated with the first and second particles due to the collision, wherein the first set of forces are computed within a first context in which X particle attributes associated with the first and second particles are considered; computing (P240) a second set of forces associated with the first and second particles due to the collision, wherein the second set of forces are computed within a second context in which Y particle attributes associated with the first and second particles are considered, wherein X<Y.

Abstract: Illustrative embodiments of methods, machine-readable media, and computing devices that provide content-aware image resizing using superpixels are disclosed. In some embodiments, a method may include segmenting a machine-readable image file into a plurality of superpixels, where each of the plurality of superpixels corresponds to a plurality of pixels of the machine-readable image file. The method may also include selecting a target region in the machine-readable image file, where the target region includes the pixels corresponding to a seam of superpixels extending across a dimension of the machine-readable image file. The method may further include selecting a seam of pixels in the target region, where the seam of pixels extends across the dimension of the machine-readable image file, and resizing the machine-readable image file by removing or augmenting the seam of pixels.

Abstract: A method for simulating a graphical object. The method comprises monitoring approximate distance between a first graphical object and a second graphical object, the first graphical object having at least a first particle and the second graphical object having at least a second particle; detecting a collision (P220) between the first particle and the second particle; computing (P230) a first set of forces associated with the first and second particles due to the collision, wherein the first set of forces are computed within a first context in which X particle attributes associated with the first and second particles are considered; computing (P240) a second set of forces associated with the first and second particles due to the collision, wherein the second set of forces are computed within a second context in which Y friction particle attributes associated with the first and second particles are considered, wherein X<Y.

Abstract: A method for simulating a graphical object. The method comprises monitoring approximate distance between a first graphical object and a second graphical object, the first graphical object having at least a first particle and the second graphical object having at least a second particle; detecting a collision (P220) between the first particle and the second particle; computing (P230) a first set of forces associated with the first and second particles due to the collision, wherein the first set of forces are computed within a first context in which X particle attributes associated with the first and second particles are considered; computing (P240) a second set of forces associated with the first and second particles due to the collision, wherein the second set of forces are computed within a second context in which Y particle attributes associated with the first and second particles are considered, wherein X<Y.

Abstract: Illustrative embodiments of methods, machine-readable media, and computing devices that provide content-aware image resizing using superpixels are disclosed. In some embodiments, a method may include segmenting a machine-readable image file into a plurality of superpixels, where each of the plurality of superpixels corresponds to a plurality of pixels of the machine-readable image file. The method may also include selecting a target region in the machine-readable image file, where the target region includes the pixels corresponding to a seam of superpixels extending across a dimension of the machine-readable image file. The method may further include selecting a seam of pixels in the target region, where the seam of pixels extends across the dimension of the machine-readable image file, and resizing the machine-readable image file by removing or augmenting the seam of pixels.

Abstract: Plants may be visualized using an inertial animation model with Featherstone algorithm. Different levels of detail may be used for different blocks of plants.

Abstract: A method for simulating a graphical object. The method comprises monitoring approximate distance between a first graphical object and a second graphical object, the first graphical object having at least a first particle and the second graphical object having at least a second particle; detecting a collision (P220) between the first particle and the second particle; computing (P230) a first set of forces associated with the first and second particles due to the collision, wherein the first set of forces are computed within a first context in which X particle attributes associated with the first and second particles are considered; computing (P240) a second set of forces associated with the first and second particles due to the collision, wherein the second set of forces are computed within a second context in which Y particle attributes associated with the first and second particles are considered, wherein X<Y.

Abstract: In some embodiments, the Navier-Stokes matrix A may be developed on the fly using arrays of Dirichlet and von Neumann boundary conditions. As a result, the storage requirements are dramatically reduced and hardware accelerators or single instruction multiple data processors may be used to solve the Navier-Stokes equations.

Abstract: In some embodiments, the Navier-Stokes matrix A may be developed on the fly using arrays of Dirichlet and von Neumann boundary conditions. As a result, the storage requirements are dramatically reduced and hardware accelerators or single instruction multiple data processors may be used to solve the Navier-Stokes equations.