56 results about "Warping function" patented technology

A method for determining correspondences between a first and a second image, comprising the steps providing a first image and a second image of the real environment, defining a warping function between the first and second image, determining the parameters of the warping function between the first image and the second image by means of an image registration method, determining a third image by applying the warping function with the determined parameters to the first image, determining a matching result by matching the third image and the second image, and determining correspondences between the first and the second image using the matching result and the warping function with the determined parameters. The method may be used in a keyframe based method for determining the pose of a camera based on the determined correspondences.

A retargeted image substantially retains the context of an original image while emphasizing the information content of a determined region of interest within the original image. Image regions surrounding the region of interest are warped without regard to preserving their information content and / or aspect ratios, while the region of interest is modified to preserve its aspect ratio and image content. The surrounding image regions can be warped to fit the resulting warped image regions into the available display space surrounding the unwarped region of interest. The surrounding image regions can be warped using one or more fisheye warping functions, which can be Cartesian or polar fisheye warping functions, and more specifically linear or linear-polynomial Cartesian fisheye warping functions, which are applied along each direction or axis of the region of interest. The image region on each side of the region of interest can be modified using one or more steps.

A method for processing an anaglyph image to produce an enhanced image is described. The method includes receiving an anaglyph image; determining first and second feature locations from the first and second digital image channels and producing feature descriptions of the feature locations; and using the feature descriptions to find feature point correspondences between the first and second feature locations of the first and second digital image channels. The method further includes determining a warping function for the second digital image channel based on the feature point correspondences; producing an enhanced second digital image channel by applying the warping function to the second digital image channel; and producing an enhanced image from the first digital image channel and the enhanced second digital image channel.

Methods, systems and mediums are disclosed for aligning mass spectrometry data before the analysis of the mass spectrometry data. The mass spectrometry data may be received from a mass spectrometry machine, and re-sampled using a smooth warping function. To estimate the warping function, a synthetic signal is build using, for example, Gaussian pulses centered at a set of reference peaks. The reference peaks may be designated by users or calculated after observing a group of spectrograms. The synthetic signal is shifted and scaled so that the cross-correlation between the mass spectrometry data and the synthetic signal reaches its maximum value.

A real-time approximately 360 degree image correction system and a method for alleviating distortion and perception problems in images captured by omni-directional cameras. In general, the real-time panoramic image correction method generates a warp table from pixel coordinates of a panoramic image and applies the warp table to the panoramic image to create a corrected panoramic image. The corrections are performed using a parametric class of warping functions that include Spatially Varying Uniform (SVU) scaling functions. The SVU scaling functions and scaling factors are used to perform vertical scaling and horizontal scaling on the panoramic image pixel coordinates. A horizontal distortion correction is performed using the SVU scaling functions at at least two different scaling factors. This processing generates a warp table that can be applied to the panoramic image to yield the corrected panoramic image. In one embodiment the warp table is concatenated with a stitching table used to create the panoramic image.

A method for generating a frequency warping function comprising preparing the training speech of a source and a target speaker; performing frame alignment on the training speech of the speakers; selecting aligned frames from the frame-aligned training speech of the speakers; extracting corresponding sets of formant parameters from the selected aligned frames; and generating a frequency warping function based on the corresponding sets of formant parameters. The step of selecting aligned frames preferably selects a pair of aligned frames in the middle of the same or similar frame-aligned phonemes with the same or similar contexts in the speech of the source speaker and target speaker. The step of generating a frequency warping function preferably uses the various pairs of corresponding formant parameters in the corresponding sets of formant parameters as key positions in a piecewise linear frequency warping function to generate the frequency warping function.

The invention relates to an asymptotic variational method-based method for simulating and optimizing a composite material laminated plate, which belongs to the field of analysis of material mechanics. The method specifically comprises the following steps of: constructing a three-dimensional plate energy equation represented by a one-dimensional generalized strain and warping function on the basisof a rotation tensor decomposition concept; strictly splitting the original three-dimensional problem analysis into nonlinear two-dimensional plate analysis and cross-section analysis along a thickness direction on the basis of an asymptotic variational method; asymptotically correcting an approximate energy functional of a reduced-order model to a second order by using the inherent small parameter of the plate and converting the approximate energy functional into the form of Reissner model for practical application through an equilibrium equation; accurately reconstructing a three-dimensional stress / strain / displacement field by using an obtained global response asymptotic correction warping function; and optimizing the composite material laminated plate by using an optimization strategy of bending and torsion rigidity coefficients obtained by maximization cross-section analysis. The method has high practicability and high generality, and the resolving speed and efficiency of this type of problems can be remarkably increased.

The disclosure provides an approach for transferring image edits from a source image to target images. In one embodiment, a warp application receives a user-selected region of interest in a source image and determines for the region of interest content-aware bounded weight functions and seed locations for the same. For each of the target images, the warping application initializes a linear blend skinning subspace warp to a projection onto a feature space of a piecewise affine map from scale invariant feature transform features of the source image to the target image. After initializing the warps, the warping application iteratively optimizes the warps by applying the inverse compositional Lucas-Kanade procedure and using the content-aware weight functions in said procedure. Edits made to the source image may automatically be transferred to target images by warping those edits via the optimized warp function for the respective target images.

The invention is related to a method for registering at least one part of a first image and of a second image, including the steps of providing a first image of the real environment and a coordinate system associated to the first image, a second image of the real environment, and measurements of orientation and / or distance of a capturing device with respect to the real environment while capturing the second image. A collineation warping function is then determined from the measurements associated to at least one part of the second image. The method further includes the steps of transforming the at least one part of the second image by applying the corresponding determined collineation warping function, determining a second warping function for registering the transformed at least one part of the second image and the at least one part of the first image by means of an image registration method, and registering the at least one part of the second image and first image using the collineation warping function and the second warping function.

Methods, data, and systems are provided to warp an image. Input pixels associated with an input image are warped according to a provided or obtained warping function. A single weight is assigned to each input pixel. The weight represents each input pixel's horizontal and vertical dimensions within an output lattice. The single weight is combined with an intensity value associated with each input pixel to map each input pixel to the output lattice in a single processing pass.

The invention provides an analogue simulation method for electromagnetic elastic coupling of a layering shell made of electromagnetic materials. A three-dimensional energy equation including the electricity-magnetism-elastic coupling effect is established based on the Hamilton extension principle; three-dimensional energy is asymptotically extended into serial two-dimensional recursion energy based on the variation asymptotic method, a leading variation item in the two-dimensional recursion energy is corrected asymptotically through inherent small parameters of the shell, and therefore a correction model close to the original three-dimensional energy as much as possible is obtained and is converted into the Reissner-Mindlin model form commonly used in the engineering; a three-dimensional variation reconstruction relation is inferred based on the obtained two-dimensional overall response and all levels of warping functions. The apriority hypothesis is not needed in the model, the structural electromagnetic elastic coupling performance under the function of various fields can be accurately predicted, the calculated amount is small, calculating efficiency is higher than that of the high-order set theory and the three-dimensional finite element solution, and the number of resources occupied in a computer is small.

The invention provides a method for predicting the size of a low-speed impact dent of a circular metal sheet. The method has the advantages of simplicity and convenience for calculation, high precision and the like. The technical scheme adopted by the invention is as follows: providing assumed conditions of a new method for predicating the size of the low-speed impact dent of the circular metal sheet; determining a deformation function of the impact dent according to a loaded form and dent features during low-speed impact of the circular metal sheet; further establishing a corresponding stress-strain relation by the provided deformation function of the impact dent of the circular metal sheet; according to a functional principle, establishing a control equation of the circular metal sheet in a low-speed impact condition, solving undetermined parameters of the control equation with a numerical solution method, and at last the size of the impact dent of the metal sheet is very conveniently determined.

A method of profiling respiratory motion is provided that includes estimating a temporal respiratory pattern, using a warping function to map the temporal respiratory pattern to a corresponding phase value, using a baseline drift function to determine drift in the temporal respiratory pattern, and noise filtering the temporal respiratory pattern, where variations in a respiratory motion are provided. The warping function includes combining an elliptical shape prior for providing iso-phase events in real-time, where the elliptical shape prior is in an augmented state space and Poincare´ sectioned. Parameters of the ellipse are estimated, where a projection of a center of the ellipse onto an observed respiratory position provides a real-time estimation for baseline drift of the respiratory motion.

The invention discloses an eye makeup mapping method based on mesh deformation. The method comprises a step of acquiring a standard face image and a face image to be detected and processing the imagesto obtain a first eye contour control point and a second eye contour control point, a step of performing area division on eyes of the standard face image and generating mesh vertexes in divided areas, a step of calculating a deformation function according to the first eye contour control point, the second eye contour control point and the mesh vertexes, a step of carrying out local deformation oneye makeup material texture sampling coordinates in the mesh vertexes by using the deformation function, a step of generating a triangular mesh surface according to the deformed mesh vertexes, a stepof creating an OpenGL vertex cache by using the deformed mesh vertexes, a step of creating an OpenGL index cache by using the triangular mesh surface, and a step of attaching a makeup material to theface image to be detected according to the vertex cache and the index cache. According to the technical scheme provided by the invention, an eye makeup material can accurately and naturally fit various eye shapes, a makeup effect is improved, and at the same time, the makeup time can be shortened.

A method determines a warping function between a first image and a second image. For each pixel in each scan-line of the first image, a distance matrix is constructed which represents distances between the pixel and a plurality of corresponding pixels of a second image. The distance matrices are ordered according a scan-line order of the pixels. A minimum cost path through the ordered distance matrices represents the warping function between the first image and the second images

Methods, systems and mediums are disclosed for aligning mass spectrometry data before the analysis of the mass spectrometry data. The mass spectrometry data may be received from a mass spectrometry machine, and re-sampled using a smooth warping function. To estimate the warping function, a synthetic signal is build using, for example, Gaussian pulses centered at a set of reference peaks. The reference peaks may be designated by users or calculated after observing a group of spectrograms. The synthetic signal is shifted and scaled so that the cross-correlation between the mass spectrometry data and the synthetic signal reaches its maximum value.

The present invention provides a method and a device for feature extraction for voice replay detection. The method comprises the steps of: performing 1.5 dimension spectrum estimation of obtained voice signals, and obtaining 1.5 dimension spectrum features of the voice signals; employing a warping function to perform subsection normalization of an energy distribution function of a frequency domainspace of the voice signals, and obtaining energy distribution features of the voice signals after normalization; and performing fusion of 1.5 dimension spectrum features of the voice signals and energy distribution features after normalization, and obtaining 1.5-SFED (1.5 Spectrum Fuse Energy Distribution). The method and the device for feature extraction for voice replay detection can improve the accuracy of voice replay detection.

The invention provides a method for analyzing piezoelectric elasticity of a piezoelectric composite laminated shell. The method comprises the following steps: according to a rotation tensor decomposing concept, establishing a three-dimensional shell analyzing model of the piezoelectric composite laminated shell; on the basis of a variational asymptotic method, decomposing the three-dimensional shell analyzing model into an asymptotically corrective two-dimensional shell surface model and one-dimensional warping function analysis in the normal direction of a shell reference surface, performing approximate energy derivation and Reissner-MindLin formal transformation on the asymptotically corrective shell surface model, inputting a Reissner-MindLin model as a solver into two-dimensional shell analysis of a computer, remodeling a three-dimensional strain field of the piezoelectric composite laminated shell in the thickness direction through two-dimensional shell overall response obtained from the two-dimensional shell analysis and a warping function, and analyzing the piezoelectric elasticity of the piezoelectric composite laminated shell. In the method, any dynamic assumption is not required, so that the computation process is greatly simplified, the calculated amount is small, and few computer resources are occupied.

This invention is a method for rectifying an input digital image including warped textual information. The method includes analyzing the input digital image to determine local orientations for a plurality of local image regions and determining an orientation vector field by interpolating between the determined local orientations for a lattice of positions. A set of streamlines are determined responsive to the orientation vector field. A global deformation function is formed by interpolating between the streamlines and is used to form a rectified image.

A method determines a warping function between a first image and a second image. For each pixel in each scan-line of the first image, a distance matrix is constructed which represents distances between the pixel and a plurality of corresponding pixels of a second image. The distance matrices are ordered according a scan-line order of the pixels. A minimum cost path through the ordered distance matrices represents the warping function between the first image and the second images

The invention relates to a three-dimensional (3D) printer with an anti-edge warping function based on the internet of things. The 3D printer with the anti-edge warping function based on the internet of things comprises a case, a printing mechanism, a feeding mechanism, a base and a tray, and further comprises an anti-edge warping mechanism and a center control mechanism, wherein the anti-edge warping mechanism comprises a circulating assembly and a processing assembly; the circulating assembly comprises a first drive unit, a thin film and two rollers; and the processing assembly comprises a second drive unit, a shell, a nozzle, a separation block, a sponge block, a roller brush, a support unit, a lifting plate, two scraper blades and two first springs. According to the 3D printer with theanti-edge warping function based on the internet of things, the anti-edge warping mechanism drives the thin film to circularly move above the tray, the thin film is surface treated when being moved, and the firmness of adsorbing a printing material on the surface of the thin film is improved, so that the probability of the occurrence of an edge warping phenomenon during a printing process is reduced, and the printing quality is improved.

The invention relates to the sealing structure for an integrated circuit and an anti-warping base plate of the structure. The sealing structure for the integrated circuit mainly comprises a base plate with a slot bore, a wafer, a covering colloid, at least one reinforcing colloid and a plurality of externally positioned terminals, the invention is characterized in that the young modulus of the reinforcing colloid is larger than that of the covering colloid while the curing shrinkage rate of the reinforcing colloid is smaller than that of the covering colloid, the covering colloid is formed on one surface of the base plate and at least covers part of the wafer while the reinforcing colloid protrudes from the other surface of the base plate and is connected with the external connection terminals on the same surface and is formed in the slot bore in order to touch with the wafer. Therefore, the reinforcing colloid is formed in a hidden place in the slot bore in order to increase the thickness of the reinforcing colloid and improve combination of the reinforcing colloid with the base plate, thus improving the anti-warping function of the sealing structure.

The present invention relates to a method for generating an 2-D projection directly from a 3-D volume data, the method comprising the steps of determining a viewing direction vector in a viewing frustum, determining a major axis of the direction vector, resampling the volume data in the direction of the major axis, applying a shear factorization to the resampled data; and rendering the factorized data. The method provides a singularly warped image which avoids have to patch images from multiple warp functions which, in turn, improves the quality of the final image. Finally, the image allows a scene to be rendered from within the scene itself. The invention can be applied to medical imaging and enable a surgeon to view an image such as a CT scan with perspective as well as from within the scan itself, providing the surgeon with an invaluable tool.

The invention is related to a method for registering at least one part of a first image and of a second image, including the steps of providing a first image of the real environment and a coordinate system associated to the first image, a second image of the real environment, and measurements of orientation and / or distance of a capturing device with respect to the real environment while capturing the second image. A collineation warping function is then determined from the measurements associated to at least one part of the second image. The method further includes the steps of transforming the at least one part of the second image by applying the corresponding determined collineation warping function, determining a second warping function for registering the transformed at least one part of the second image and the at least one part of the first image by means of an image registration method, and registering the at least one part of the second image and first image using the collineation warping function and the second warping function.

The invention opens an elastic image registration method based on limited sampling and global optimization. The steps of the registration are: First read the deformation image; compute the maximum frequency of defined target function, perform the average sampling calculation on the deformation coefficients with two times of the maximum frequency of target function; get the sequence of deformation images; then read into the reference images; deform the deformation images to finish the image registration with the deformation function that corresponds to minimum target function value. Furthermore, start from the coefficient value of deformation function in the rough registration; search the global minimum point in target function with the gradient descent algorithm.

The present invention relates to a feature human body finite element modeling method based on an adaptive RBF network deformation technology, belonging to the field of automobile passive safety. The method concretely comprises the following steps of: S1: selecting a reference model and a feature human body finite element model mark point; S2: performing deformation of adaptive RBF grids, and determining a RBF grid deformation function; and S3: after determining the RBF grid deformation function, performing interpolation of nodes on the reference human body finite element model through a spacedeformation mode to a new space position, adding tissue material attributes, and obtaining a feature human body finite element model. The method provided by the invention greatly simplifies the flow of the feature human body finite element model modeling, shortens the modeling time and saves the modeling cost, and compared to other grid deformation technologies, the method provided by the invention ensures the quality of the model grids to the maximum extent.

The disclosure provides an approach for transferring image edits from a source image to target images. In one embodiment, a warp application receives a user-selected region of interest in a source image and determines for the region of interest content-aware bounded weight functions and seed locations for the same. For each of the target images, the warping application initializes a linear blend skinning subspace warp to a projection onto a feature space of a piecewise affine map from scale invariant feature transform features of the source image to the target image. After initializing the warps, the warping application iteratively optimizes the warps by applying the inverse compositional Lucas-Kanade procedure and using the content-aware weight functions in said procedure. Edits made to the source image may automatically be transferred to target images by warping those edits via the optimized warp function for the respective target images.