42 results about "Image warping" patented technology

Methods and systems are disclosed for performing real-time deforming operations. The system receives an image that includes a depiction of a real-world object. The system applies a machine learning model to the image to generate a warping field and segmentation mask, the machine learning model trained to establish a relationship between a plurality of training images depicting real-world objects and corresponding ground-truth warping fields and segmentation masks associated with a target shape. The system applies the generated warping field and segmentation mask to the image to warp the real-world object depicted in the image to the target shape.

Methods and systems are disclosed for performing real-time deforming operations. The system receives an image that includes a depiction of a real-world object. The system applies a machine learning model to the image to generate a warping field and segmentation mask, the machine learning model trained to establish a relationship between a plurality of training images depicting real-world objects and corresponding ground-truth warping fields and segmentation masks associated with a target shape. The system applies the generated warping field and segmentation mask to the image to warp the real-world object depicted in the image to the target shape.

In various examples, methods and systems are provided for estimating depth values for images (e.g., from a monocular sequence). Disclosed approaches may define a search space of potential pixel matches between two images using one or more depth hypothesis planes based at least on a camera pose associated with one or more cameras used to generate the images. A machine learning model(s) may use this search space to predict likelihoods of correspondence between one or more pixels in the images. The predicted likelihoods may be used to compute depth values for one or more of the images. The predicted depth values may be transmitted and used by a machine to perform one or more operations.

The present invention relates to an image warping system capable of quickly performing image warping with low costs by using a cache memory, and a method thereof. The image warping system is provided to generate a transformed image by warping an input image with the help of a cache based WARP engine. The WARP engine accesses the input image and loads a portion of the image to the cache memory for speeding up the engine process. The WARP engine performs interpolation on the input image to generate an output image which is devoid of distortions. The output image obtained is then stored in the DDR of an electronic device.

A video meeting system for adjusting a perspective using adaptive image morphing includes an image morphing unit including at least one processor. The at least one processor is programmed to: receive an overview video stream from a camera in a video meeting system; determining at least one region of interest represented within the at least one test frame based on an analysis of the at least one test frame from the overview video stream; determining one or more indicators of actual camera perspective relative to the at least one region of interest; determining a target camera perspective relative to the at least one region of interest, the target camera perspective being different from the actual camera perspective; determining at least one image transformation based on a difference between the actual camera perspective and the target camera perspective; applying at least one image transformation to one or more sub-frame regions of the plurality of image frames of the overview stream to generate at least one image-warped primary video stream; and causing the at least one image-warped primary video stream to be displayed on a display.

The embodiment of the invention provides an image processing method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring a reverse mapping tensor; in the on-chip storage space of the calculation unit, a buffer area used for image distortion transformation is distributed; writing forward mapping information of a group of pixels corresponding to a first sliding window into the buffer area based on the first sliding window on the reverse mapping tensor; moving one first unit block in response to the first sliding window, writing forward mapping information in a first area in the buffer area into an off-chip storage space of the computing unit, and moving forward mapping information in a second area in the buffer area to the first area; and determining a forward mapping tensor for the reverse mapping tensor based on the forward mapping information written in the off-chip storage space to perform image warping transformation on the input image. In this way, the image distortion transformation efficiency can be improved.

A method includes processing input image data to produce resulting image data corresponding to a resulting image such that a first region of the resulting image is filled with black pixels. The method further includes driving a display panel based on the resulting image data. The method further includes producing black pixel pattern data indicative of an arrangement of the black pixels in the resulting image. The method further includes controlling, based on the resulting image data and the black pixel pattern data, luminance levels of one or more of a plurality of light sources of a backlight device configured to illuminate the display panel.

The present invention relates to the field of lens technology. The present invention discloses an optical lens with a large target surface and low distortion, comprising fifteen lenses, wherein the first lens is a convex-concave lens with a negative refractive power, the second, eighth, ninth, eleventh, twelfth, and fourteenth lenses are all convex-convex lenses with a positive refractive power, the third, tenth, and thirteenth lenses are all concave-concave lenses with a negative refractive power, the fourth, fifth, seventh, and fifteenth lenses are all concave-convex lenses with a negative refractive power, the sixth lens is a concave-convex lens with a positive refractive power, the second lens and the third lens are bonded together, the fourth lens and the fifth lens are bonded together, the sixth lens and the seventh lens are bonded together, the ninth lens and the tenth lens are bonded together, the twelfth lens and the thirteenth lens are bonded together, and the fourteenth lens and the fifteenth lens are bonded together; the optical lens having only the first to fifteenth lenses has the advantages of high resolution, good imaging effect, a large image surface, good pattern sharpness, and minimal image distortion.

The present invention discloses a method for indoor scene illumination estimation based on a local-to-global completion strategy. This method aims to estimate the illumination conditions at any position in a single restricted-view indoor scene image and decomposes the indoor scene illumination estimation problem into three subtasks: depth-based image warping, low dynamic range (LDR) panorama completion, and high dynamic range (HDR) reconstruction. Based on the second subtask, this method proposes a local-to-global panorama completion strategy. This strategy first performs depth-guided local completion on the sparse panorama output after the first stage of warping to fill small and dense holes. Then, a reasonable global completion is performed using a cubemap projection method and a transformer network (called PanoTransformer) capable of fitting long-range dependencies. Finally, a physically reasonable panorama with texture details can be restored at any position in the input image to capture the spatially varying indoor illumination.

The invention provides an X-ray back scattering image deformation correction method, device and system, and the method comprises the steps: obtaining the six-degree-of-freedom pose change during the scanning of a device in real time through an environment pose sensing system fixed on the device, replacing the conventional error-prone inertial measurement or contact track recording, and employing the high-precision pose data to achieve the correction of the deformation of an X-ray back scattering image. And calculating the accurate position of each pixel of the original image on an ideal imaging plane through space-time synchronization and an affine transformation model, and finally generating a distortionless image through interpolation resampling. According to the image deformation correction method provided by the invention, high-precision and non-contact full-scene image correction independent of external marks is realized, and the problem of image distortion caused by jitter in handheld scanning is effectively solved.

This invention, applied to the field of product communication technology, discloses a system for replacing an LCD screen with an OLED screen based on an FPGA. The system comprises a MIPI decoding unit, a RAM image cache unit, a clock recovery unit, a scaling interpolation unit, an output timing unit, a MIPI encoding unit, a screen command unit, and an ADC sampling unit. The system utilizes only the Lattice‑XO3 FPGA. This FPGA-based system for replacing an LCD screen with an OLED screen employs a scaling interpolation unit based on the FPGA's internal RAM cache to address the issue of inconsistent resolutions between LCD and OLED screens. This system offers high flexibility and adaptability. Through precise interpolation calculations and scaling processing, the system ensures image quality and integrity, enhancing the visual experience. It also enables users to fully utilize the high resolution of the OLED screen after the screen replacement, while avoiding issues such as image distortion, blurring, or incomplete display that can result from resolution mismatches.

The invention discloses an image processing method and device, a processor and equipment, and relates to the field of computers. The method comprises the following steps: according to a vector calculation instruction, performing parallel distortion processing on a plurality of pixels in a to-be-processed image corresponding to elements in a second distortion field after pooling of a first distortion field of the to-be-processed image to obtain an intermediate processing image; and performing pixel arrangement on the plurality of pixels included in the pixels in the intermediate processing image according to a recombination rule to obtain a distorted image of the to-be-processed image. Wherein the second twisting field comprises elements pooling the first twisting field. The intermediate processing image comprises a distortion processing result of the recombined pixels after the pixels in the to-be-processed image are recombined according to the recombination rule. The recombined pixels comprise a plurality of pixels in the to-be-processed image. The recombination rule is used for indicating an arrangement rule of a plurality of pixels in the to-be-processed image in the recombination pixels in the recombination pixels. And through vectorization acceleration in the distortion processing process, the calculation performance of image distortion processing is improved.

A method morphs an input image depicting a face to an output image depicting a face that is a blend of characteristics of a plurality of input entities. The method comprises: training a face-morphing model comprising: a shared set of parameters shared between the input identities; and, for each of the input entities, an identity-specific set of parameters. The method also comprises: receiving an input image depicting a face of one of the plurality of input identities; receiving a set of interpolation parameters; combining the identity-specific sets of trained neural-network parameters for the plurality input identities based on the interpolation parameters, to thereby obtain a blended set of neural-network parameters; and inferring an output image depicting a face that is a blend of characteristics of the input entities using the shared set of trained neural-network parameters, the blended set of neural-network parameters and the input image.

The present invention provides an image warping processing system, an image warping processing method, an image display device, a computer-readable storage medium, and a computer program product. The image warping processing system comprises a pre-rotation unit and a warping unit. The pre-rotation unit is used for performing at least one pre-rotation on a first image to be warped, to obtain a second image. The warping unit is used for performing a warping operation on the second image to obtain a third image conforming to a warping target. The warping target at least indicates a target rotation angle of the third image relative to the first image. By configuring a pre-rotation unit to perform at least one pre-rotation on an image to be warped, the present invention achieves the effect of realizing large-angle image rotation with a small amount of storage resources, and improves display real-time performance.

A method and system for performing image warping of images having missing pixel data. The method includes obtaining, by a first imaging assembly having a first field of view, a first image of one or more objects in the first field of view. The first image has one or more pixels with missing data pixel values. A processor determines a mapped pixel location for each pixel of the first image. The processor then identifies a pixel neighborhood having a pixel neighborhood configuration for each mapped pixel location. The processor further determines a mapped pixel value for each mapped pixel, each mapped pixel value based on the pixel neighborhood configuration. The warped image of mapped pixels and mapped pixel values is then presented to a user.

A circuit apparatus includes a memory unit and a warp processing unit. The memory unit stores a warp object image. The warp processing unit performs warp processing on the warp object image and generates a display image displayed in a display area. The warp processing unit performs the warp processing on an image of a first view object of the warp object image based on a first warp parameter for vibration correction and distortion correction. Further, the warp processing unit performs the warp processing on an image of a second view object of the warp object image based on a second warp parameter for the distortion correction.

The present application relates to a kind of non-fisheye digital camera-based vegetation canopy structure measurement method, comprising the following steps: (1) the field of view of non-fisheye digital camera and the actual length and width corresponding to image are calculated;(2) shooting sample is carried out, and image is obtained;(3) the RGB color space of image is converted to LAB color space;(4) the A wave band in LAB color space is preprocessed, and the binary image of background and vegetation is obtained;(5) the FVC, CC, porosity, solar direct radiation and the FAPAR of sky diffuse radiation, the FAPAR of average solar direct radiation in a day, the proportion of diffuse radiation in total radiation, and then the instantaneous FAPAR is calculated;(6) the cumulative pore size distribution of each pixel direction, the vegetation width of ridge row crop and the distance between ridges are calculated;(7) CI, slightly error LAI and LAI_e, and accurate LAI and LAI_e are calculated;(8) average leaf angle is calculated.The present application has low labor cost, no image distortion and wide applicability.

A method for generating a training dataset (500) for training a machine learning model for the recognition of morphed images, wherein the method comprises: Repeatedly performing the following steps: Receiving (101) an image (130, 150) of an object (134, 154); Identifying (103) a set of landmarks (134, 154) in accordance with a landmark pattern; Determining (105) the positions of the set of reference points with respect to a coordinate system (131, 151) defined relative to the object (134, 154); Adding an entry (501.1-n) to the training dataset (500), where the entry specifies the set of positions and a label, where the label indicates whether the received image (130, 150) is a real image or a morphed image.

Efficient image warping systems and methods for optimized processing and memory management are disclosed herein. A method for transforming digital images using coordinate transformations and Double Data Rate (DDR) memory optimizes processing and memory usage. The method receives an input image and a warp specification, fetches estimated source blocks from DDR memory based on the specification, and processes these blocks in cache memory optimized for random access. It addresses out-of-bounds pixel issues by adjusting the range of source blocks, ensuring accurate assembly of the warped image. This approach improves efficiency in digital image warping, particularly in real-time applications.

A display driver includes an image warping circuit and drive circuitry. The image warping circuit performs image warping processing on input image data corresponding to an input image to generate resulting image data corresponding to a resulting image. The image warping processing may include determining first and second ratios corresponding to a target pixel in a quadrangular target cell defined in the resulting image, wherein the target pixel is located at an intersection of a first line segment that divides a first pair of opposing sides of the target cell according to the first ratio and a second line segment that divides a second pair of opposing sides of the target cell according to the second ratio. Pixel data of the target pixel may be determined based on pixel data of one or more pixels selected from pixels of the input image based on the first and second ratios.

An apparatus may include a display to display an image frame based on warped image data, and image processing circuitry to generate the warped image data by warping input image data to account for one or more distortions associated with displaying the image. The image processing circuitry may include a two-level cache architecture having a first cache and a second cache, and warp the input image data by generating mapping data indicative of a warp between an input image space and an output image space, and extracting the input image data to populate the first cache. The warping may also include populating the second cache with a packet of pixel values from the first cache, the pixel values selected according to a sliding window traversing the first cache based on the mapping data; and interpolating between the pixel values of the group to generate pixel values of the warped image data.

The present invention relates to an image warping system and method capable of performing image warping quickly at low cost by using a cache memory. The image warping system is provided to generate a transformed image by warping an input image with the help of a cache-based warping engine. The warping engine accesses the input image and loads a portion of the image to a cache memory in order to speed up the engine process. The warping engine performs interpolation on the input image to generate an output image without distortion. The obtained output image is then stored in a DDR SDRAM of an electronic device.

An ophthalmic information processing apparatus includes a specifying unit and an image deforming unit. The specifying unit is configured to specify a three-dimensional position of each pixel in a two-dimensional front image depicting a predetermined site of a subject's eye, based on OCT data obtained by performing optical coherence tomography on the predetermined site. The image deforming unit is configured to deform the two-dimensional front image, by changing position of at least one pixel in the two-dimensional front image based on the three-dimensional position, to generate a three-dimensional front image.

An image processing circuit for performing local tone mapping (LTM) after image warping. The image processing circuit includes a warping circuit that warps an input image to generate a warped image, and a LTM circuit coupled to the warping circuit. The LTM circuit determines an input color component value for a color component of a pixel in a version of the warped image, determines an output color component value for the color component of the pixel, based on mapping of coordinates of pixels in the warped image to coordinates of pixels in the input image, determines a gain value for the pixel as a ratio of the output color component value relative to the input color component value, and adjusts color component values for color components of the pixel using the gain value to generate adjusted color component values for the color components of the pixel in an output image.

This invention provides a 720-degree VR LED dome screen combining a disc-shaped ground screen, relating to the field of immersive image display technology. It includes: a dome LED screen, which is a half-rotation curved surface formed by splicing a first circular LED module at the top and multiple first curved-edge LED modules on the sides; a disc-shaped ground screen, which is a cylinder formed by splicing a second circular LED screen in the central area and multiple second curved-edge LED modules; and a central LED screen, which is a hyperboloid formed by splicing multiple third curved-edge LED modules, with the upper edge of the hyperboloid coinciding with the lower edge of the dome LED screen, and the lower edge of the hyperboloid coinciding with the outer edge of the disc-shaped ground screen. The beneficial effect is that through the three-screen curved splicing structure, a smooth and seamless splicing of the dome LED screen and the disc-shaped ground screen is achieved, resulting in complete spherical spatial image coverage. This effectively solves the problems of visual obstruction, restricted movement, and image distortion in the splicing area, enhancing the immersive viewing experience.

A method morphs an input image depicting a face to an output image depicting a face that is a blend of characteristics of a plurality of input entities. The method comprises: training a face-morphing model comprising: a shared set of parameters shared between the input identities; and, for each of the input entities, an identity-specific set of parameters. The method also comprises: receiving an input image depicting a face of one of the plurality of input identities; receiving a set of interpolation parameters; combining the identity-specific sets of trained neural-network parameters for the plurality input identities based on the interpolation parameters, to thereby obtain a blended set of neural-network parameters; and inferring an output image depicting a face that is a blend of characteristics of the input entities using the shared set of trained neural-network parameters, the blended set of neural-network parameters and the input image.

The invention discloses an image warping method based on an atmospheric turbulence effect, and belongs to the technical field of image processing. The method comprises the following steps: S1, calculating an atmospheric turbulence scale r0 of atmospheric turbulence; s2, calculating an amplitude factor Qagi; s3, calculating a spatial spectrum coefficient Wcoef and a spatial power spectrum density W phi of a turbulence effect corresponding to the atmospheric turbulence scale r0; s4, an image turbulence effect is obtained through calculation, and spatial frequency spectrums in the X direction and the Y direction are generated; s5, calculating corresponding motion vectors # imgabs0 # and # imgabs1 # according to the spatial frequency spectrum, and applying inverse Fourier transform to the motion vectors # imgabs0 # and # imgabs1 #; and S6, outputting a distorted image simulating atmospheric turbulence. According to the method, the atmospheric turbulence distorted image with a physical basis can be quickly generated, and the turbulence distorted image with enough physical characteristics can be obtained in a short time and is used for training a deep learning model.

A videoconferencing system for adjusting perspective views using adaptive image warping includes an image warping unit including at least one processor. The at least one processor is programmed to: receive an overview video stream from a camera in the videoconferencing system; determine, based on analysis of at least one test frame from the overview video stream, at least one region of interest represented within the at least one test frame; determine one or more indicators of actual camera perspective relative to the at least one region of interest; determine a target camera perspective relative to the at least one region of interest, wherein the target camera perspective is different from the actual camera perspective; determine at least one image transformation based on a difference between the actual camera perspective and the target camera perspective; apply the at least one image transformation to one or more subframe regions of a plurality of image frames of the overview stream to generate at least one image warped primary video stream; and cause the at least one image warped primary video stream to be shown on a display.