126 results about "Rendering algorithms" patented technology

Depth maps are generated from a monoscopic source images and asymmetrically smoothed to a near-saturation level. Each depth map contains depth values focused on edges of local regions in the source image. Each edge is defined by a predetermined image parameter having an estimated value exceeding a predefined threshold. The depth values are based on the corresponding estimated values of the image parameter. The depth map is used to process the source image by a depth image based rendering algorithm to create at least one deviated image, which forms with the source image a set of monoscopic images. At least one stereoscopic image pair is selected from such a set for use in generating different viewpoints for multiview and stereoscopic purposes, including still and moving images.

Methods and apparatus for reducing plenoptic camera artifacts. A first method is based on careful design of the optical system of the focused plenoptic camera to reduce artifacts that result in differences in depth in the microimages. A second method is computational; a focused plenoptic camera rendering algorithm is provided that corrects for artifacts resulting from differences in depth in the microimages. While both the artifact-reducing focused plenoptic camera design and the artifact-reducing rendering algorithm work by themselves to reduce artifacts, the two approaches may be combined.

The invention provides a method for analyzing the pore structure of solid material based on microscopic image, belonging to the technical field for analyzing the pore structure of the solid material.The method is characterized of: obtaining the CT single cross section image of the solid material by microscopic CT scanning; using computer language to digitally image process the CT single cross section image; taking the pixel side of the image as the size of hole diameter; computing the hole diameter of the solid material, porosity and change regularity of the hole diameter and the porosity based on the microscopic CT single image; selecting the CT single image after processing a plurality of digital image; generating a CT image sequence; three dimensionally rebuilding the CT single image with a volume rendering algorithm in a visual rebuilding algorithm; generating the three dimensional digital image of the solid material; and computing the hole diameter of the solid material, the porosity and the change regularity of the hole diameter and the porosity based on the microscopic CT single image. The method is widely used for analyzing and computing the hole size and the porosity of the solid material under the various hole sizes of the solid material.

A scene graph is provided which represents data and a set of processes thus providing an enhanced approach to the previously known scene graph concept. With this approach the scene graph becomes a rendering description of the data rather than a world description. Previously known scene graphs represent a structure of objects and their attributes. The scene graph has a notation of the traversing order, which together with the types of nodes, the nodes position, node functionality and node state determine the rendering order. Thus, any effects supported by the underlying rendering pipeline can be expressed directly in the scene graph by the user. An API is provided for the scene graph, controlling the actual rendering order and optimization to the user. The scene graph is extensible allowing the user to experiment and express new rendering algorithms in the scene graph semantic.

A pulmonary nodule detection device and method based on a shape template matching and combining classifier comprises an input unit, a pulmonary parenchyma region processing unit, a ROI (region of interest) extraction unit, a coarse screening unit, a feature extraction unit and a secondary detection unit. The input unit is used for inputting pulmonary CT sectional sequence images in format DICOM; the pulmonary parenchyma region processing unit is used for segmenting pulmonary parenchyma regions from the CT sectional sequence images, repairing the segmented pulmonary parenchyma regions by the boundary encoding algorithm and reconstructing the pulmonary parenchyma regions by the surface rendering algorithm after the three-dimensional observation and repairing; the ROI extraction unit is used for setting a gray level threshold and extracting the ROI according to the repaired pulmonary parenchyma regions; the coarse screening unit is used for performing coarse screening on the ROI by the pulmonary nodule morphological feature design template matching algorithm and acquiring selective pulmonary nodule regions; the feature extraction unit is used for extracting various feature parameters as sample sets for the post detection according to selective nodule gray levels and morphological features; the secondary detection unit is used for performing secondary detection on the selective nodule regions through a vector machine classifier and acquiring the final detection result.

The invention is a method for real-time drawing geometric model of realistic 3D topography, characterized in comprising the following steps of: (1) preprocessing topographical data to its structure accord to the follow-up operation; (2) adopting a topographical planning algorithm of making file-file real-time switching based on traditional LRU algorithm and the method of integrating viewpoint interests to complete the real-time planning for large-scale topographical files; (3) simplifying topographical model based on geometric Mip Map topographical network implementing and generating algorithm;(4) displaying topographical feature based on multi-grain GPU topographical Bump Map rendering algorithm; (5) realizing topographical data conversion based on four-tree ergodic topographical partial-replacing algorithm. The invention solves the problem of the drawing speed of topographical model being low, raising the drawing efficiency and achieving the purpose of real-time drawing dynamical topography.

The invention discloses a method for visualizing a three-dimensional anatomical tissue structure model of a human heart based on a ray cast volume rendering algorithm which, relates to the method for visualizing the three-dimensional anatomical model of the human heart and solves the problem of incapability of visualizing the anatomical tissue structure model of the heart in the prior art. The method comprises the following steps of: (1) obtaining a heart three-dimensional volume data set; (2) selecting a sampling point; (3) calculating a gradient of each volume element in a heart three-dimensional volume data set space; (4) obtaining brightness of each volume element in the heart three-dimensional volume data set space under light; (5) calculating an opacity value and a color value of each volume element; (6) obtaining the opacity value and the color value of each volume element; (7) obtaining pixel point color values corresponding to projection light beams on an image plane; and (8) rendering an image of the heart three-dimensional anatomical tissue structure model according to each pixel point color value on the image plane. The invention lays the foundation for exactly simulating the structure appearance and the behaving function of the heart.

A system and method are provided for selectively rendering graphic instances in an image driver software application. The method comprises: accepting image data including a plurality of graphic instances from a software application (i.e., a printer driver accepting print data from a document processing application); applying a default first image rendering option to the image data; selecting a first graphic instance in the image data; applying a second image rendering option to the selected first graphic instance; and, generating an image job (i.e., a print job) incorporating the first and second image rendering options. A graphic instance can be a text object, business graphics object, photo object, bitmap, color, a range of colors, an identified region of a page, or vector. Some examples of rendering options that can be selected by the user include halftoning, color management, black generation, undercolor removal, filters, color adjustments, and segmentation-based rendering algorithms.

The invention discloses a method and a device for rendering an image and belongs to the field of image processing. The method comprises the steps of selecting one of a left view and a right view of a to-be-processed image as a first view, and using the other as a second view, carrying out calculation of solving for a depth map on the first view to obtain the depth map corresponding to the first view; rendering according to the first view and the depth map to obtain an intermediate view; filling up the hollow space of which the area is smaller than a threshold value in the intermediate view according to the predetermined threshold value; searching, from the second view, a pixel block having the highest similarity with the hollow space of which the area is larger than the threshold value in the intermediate view according to the intermediate view and the second view; copying and filling the pixel block in the hollow space. The module comprises a depth map calculating module, a rendering module, a first filling module, a calculating module and a second filling module. The invention not only simplifies the complexity of the prior rendering algorithm, quickens rendering speed and greatly improves the filing effect of the hollow space.

The invention discloses an online three-dimensional rendering technology and system based on a cloud platform, the system comprises a WEB front-end system, the WEB front-end system comprises an accesslayer and a front-end UI, and the access layer comprises a mobile phone and a PC terminal. A communication layer, a service layer and a data layer, a model subtraction optimization algorithm is adopted to carry out lightweight processing on a model file; a step of compressing a lightweight model after surface reduction optimization and a step of optimizing a model file through a real-time communication protocol are included. In addition, a parallel algorithm and a dynamic computing power rendering algorithm of a rendering pipeline are adopted to carry out lightweight processing on the model file; a user can obtain high-quality 3D rendering on any lightweight terminal; according to the online three-dimensional rendering system of the cloud platform, a product in a design is rendered and generated in the cloud server, designers from various countries or various regions can design in the same platform and directly communicate with each other to see a law and make a conclusion, and the modified design is verified together.

Systems and methods are presented for increasing the frame rate of real-time 3D ultrasound imaging. In one embodiment, the frame rate for generating a pseudo-shaded 2D projection image may be increased by controlling the image reconstruction process. Rather than beamforming, scan converting, and interpolating a 3D voxelized data set of an entire scanned volume, only samples required for generating the 2D projection image may be reconstructed. The element data measured from each transducer array element may be combined to directly reconstruct those 3D image samples required by the volume rendering algorithm to generate the 2D projection image.

The invention discloses a three-dimensional scene rendering algorithm based on an LOD (Levels of Detail) model and a quadtree level structure, and adopts the LOD model to carry out layering and partitioning processing on data to improve the browsing speed of a three-dimensional scene. The three-dimensional scene rendering algorithm comprises the following steps: firstly, according to application requirement precision, the size of a visual scene and the complexity and the aggregation degree of surface features, determining a grade standard of LOD modeling; carrying out data layering; and carrying out data partitioning: taking a small-scale scene as one block for processing in a roaming process, and carrying out the portioning processing on scene data when the scale of scene data is enlarged. The LOD model is used for realizing real-time visualization, the quadtree level structure is utilized to display, query and analyze geographic information, the scene is segmented into a plurality of subscenes to ensure that the total data volume of a display area is not huge and the real-time browsing speed is smooth when the three-dimensional scene roams.

A method, program product and system for conducting a ray tracing operation where the rendering compute requirement is reduced or otherwise adjusted in response to a changing vantage point. Aspects may update or reuse an acceleration data structure between frames in response to the changing vantage point. Tree and image construction quality may be adjusted in response to rapid changes in the camera perspective. Alternatively or additionally, tree building cycles may be skipped. All or some of the tree structure may be built in intervals, e.g., after a preset number of frames. More geometric image data may be added per leaf node in the tree in response to an increase in the rate of change. The quality of the rendering algorithm may additionally be reduced. A ray tracing algorithm may decrease the depth of recursion, and generate fewer cast and secondary rays. The ray tracer may further reduce the quality of soft shadows, resolution and global illumination samples, among other quality parameters. Alternatively, tree rebuilding may be skipped entirely in response to a high camera rate of change. Associated processes may create blur between frames to simulate motion blur.

This invention discloses a method and a device for converting plane video into solid video, belonging to multimedia technology field, wherein the method comprises: decoding plane video sequence to obtain frame image sequence of plane video; carrying out grey level transformation, differentiation on the frame image sequence of plane video to obtain frame difference image sequence; carrying out frame difference adding accumulation on the frame image sequence to obtain depth image sequence; based on plane video frame image sequence and depth image sequence, generating solid video frame image sequence with depth information rendering algorithm; decoding the solid video frame image sequence to obtain solid video sequence. During process of converting plane video into solid video, this invention can effectively save manpower and time to enhance efficiency of converting plane video to solid video; meanwhile, hard drive space can be effectively saved without storing temporary results therein.

Described is a method for instilling the haptic dimension of texture to virtual and holographic objects using mid-air ultrasonic technology. A set of features is extracted from imported images using their associated displacement maps. Textural qualities such as the micro and macro roughness are then computed and fed to a haptic mapping function together with information about the dynamic motion of the user's hands during holographic touch. Mid-air haptic textures are then synthesized and projected onto the user's bare hands. Further, mid-air haptic technology enables tactile exploration of virtual objects in digital environments. When a user's prior and current expectations and rendered tactile texture differ, user immersion can break. A study aims at mitigating this by integrating user expectations into the rendering algorithm of mid-air haptic textures and establishes a relationship between visual and mid-air haptic roughness.

A system and method for generating an image that includes ray traced pixel data and rasterized pixel data is presented. A synergistic processing unit (SPU) uses a rendering algorithm to generate ray traced data for objects that require high-quality image rendering. The ray traced data is fragmented, whereby each fragment includes a ray traced pixel depth value and a ray traced pixel color value. A rasterizer compares ray traced pixel depth values to corresponding rasterized pixel depth values, and overwrites ray traced pixel data with rasterized pixel data when the corresponding rasterized fragment is “closer” to a viewing point, which results in composite data. A display subsystem uses the resultant composite data to generate an image on a user's display.

The invention belongs to the ocean visualization fields and particularly relates to a three-dimensional streamline volume rendering algorithm based on real ocean flow field data. According to the three-dimensional streamline volume rendering algorithm, a line integral convolution (LIC) method based on texture is expanded to three-dimensional vector field visualization, the generated three-dimensional streamline texture image is improved by designing sparse texture line noise and matching up an LIC convolution kernel, space depth feeling is remarkably strengthened, and a Volume LIC image is generated by means of a ray cast direct volume rendering method. The three-dimensional streamline volume rendering algorithm displays the full view of an ocean flow field in an image mode, and detailed changes can be shown. Due to the fact that the texture is a continuous image, the method based on the texture can solve the problem caused by density and spacing of arrow plots and vector lines. Therefore, the three-dimensional streamline volume rendering algorithm has great advantages.

The invention discloses a method for visualizing three-dimensional imaging sonar data, belonging to the field of image processing of the three-dimensional data in a small sonar submersible. The method comprises the following steps of: (1) carrying out parameter calibration on the collected three-dimensional imaging sonar data according to a space position of a three-dimensional imaging sonar collecting array, a motion state of the three-dimensional imaging sonar collecting array, a frequency of a sound wave signal and an intensity of the sound wave signal; (2) synthesizing the collected three-dimensional imaging sonar data into a three-dimensional array according to a parameter calibration result of the step (1); and (3) carrying out three-dimensional visualization on the obtained three-dimensional array by utilizing a ray cast direct volume rendering algorithm. In the invention, the three-dimensional imaging sonar data are visualized to process image data collected by a three-dimensional imaging sonar, therefore, the three-dimensional visualization display of the three-dimensional imaging sonar is realized for the first time, and the method facilitates to reflect detail information of a target and a submarine environment comprehensively and accurately.

A partition method of three dimensional medical images based on ray casting volume rendering algorithm belongs to the technical field of image processing and relates to the physical partition method of three dimensional medical images. The method includes the following steps of: first converting a two dimensional MRI slice image sequence into three dimensional cuboid data Volume1, revolving the three dimensional cuboid data Volume1 to obtain an optimal visible area ROI; then adopting a regular geometry Volume2 with space size less than that of Volume1 to conduct virtual partition on the Volume1 and to obtain a space geometry Volume3 after the Volume1 is partitioned from the Volume2; subsequently conducting ray casting sampling on the space geometry Volume3; and finally conducting image reconstruction on the space geometry Volume3. Different from a common partition method which first partitions the three dimensional medical images and then reconstructs images, the partition method conducts the partition and three dimensional reconstruction simultaneously, thus increasing arithmetic speed greatly, having high real-time and being capable of observing the required regions at real time through methods of rotation, light illumination and the like so as to find out the association among tissues and facilitate accurate medical analysis and judgment.

The invention discloses a three-dimensional image visualization method based on a two-dimensional transfer function, which comprises the steps of: firstly, establishing a generalized model of the two-dimensional transfer function, and designing four classifiers; secondly, designing a concrete model of the two-dimensional transfer function; and thirdly, drawing a three-dimensional image according to optical parameters obtained by the two-dimensional transfer function. The method is simple, has popularization on a volume rendering algorithm based on graphics hardware and a volume rendering algorithm based on software, is visual in results, and can realize optical parameter set, user interest structure extraction, independence structure inhibition and three-dimensional image semitransparent rendering in volume data.

Method for remotely ordering clothing for a person (1), the person sends two profile images of himself / herself to the processing means (11), which determines there from two person profiles. The processing means determines the requested clothes size or clothes dimensions, by using a data set (12) with representations of virtual persons or pieces of clothing. The processing means use a matching, fitting or rendering algorithm for determining the largest similarity between the supplied person profiles and the representations of virtual people or clothes in said generic data set. Input into the processing means is done via a local terminal, via the Internet.

A digital camera includes an image optimization engine configured to generate an optimized image based on a raw image captured by the digital camera. The image optimization engine implements one or more machine learning engines in order to select rendering algorithms and rendering algorithm arguments that may then be used to render the raw image.

A method and apparatus for streaming-optimized volume rendering of a 3D medical volume is disclosed. View parameters for a 2D projection of the 3D medical volume are set based on a received user input. Respective optimal rendering parameters are determined for each of a plurality of rendering stages including an interaction stage, a visual quality refinement stage, and a final assessment stage. In each rendering stage, output 2D projection images corresponding to the view parameters are generated using rendering contexts that perform one or more rendering passes of a progressive volume rendering algorithm on the 3D volume and a display context that composites rendered images generated by the rendering contexts. In each rendering stage, the rendering contexts and the display context are configured using the respective optimal rendering parameters determined for that stage.

The invention relates to a quick volume data skeleton extraction method based on rendering. The quick volume data skeleton extraction method comprises the following steps: under upper, lower, front, rear, left and right viewpoints, using a RayCasting direct volume rendering algorithm to render three-dimensional volume data, so as to obtain six two-dimensional images; extracting the contours and partial key feature lines of all the two-dimensional images obtained through direct volume rendering; projecting the obtained contours and partial key feature lines of the two-dimensional images back to a three-dimensional space, so as to obtain a three-dimensional standby curve; sampling the space, calculating curve density of space sampling points and constructing a curve density field; after the curve density field is obtained, obtaining the gradients of the sampling points through a three-dimensional Sobel operator; according to the gradient values of the sampling points, calculating the curve directions of the sampling points through a least-square method; assigning the curve direction to the voxels of the corresponding three-dimensional volume data; according to the directions of the voxels, constructing a bounding box and calculating the average value of the voxels of the bounding box to obtain characterization nodes; connecting the characterization nodes and smoothing the connecting curve, so as to obtain a three-dimensional volume data skeleton.

The invention discloses a shading judgment method and a device based on a depth layer, and belongs to the field of computer vision. The method comprises the steps that a depth image of an original image is subjected to histogram counting; the number of pixels corresponding to all gray-scale values of the depth image is counted; envelope detection is performed according to a histogram; a depth counting envelope diagram is obtained, and subjected to neighborhood smoothing filtering; a minimum depth hop is computed according to the smooth depth counting envelope diagram; the minimum position translation quantity on a virtual view is computed accordingly, and serves as a cavity size threshold; and different cavity filling strategies are adopted for cavities with different sizes. The device comprises a depth histogram counting module, an envelope diagram computation module, a depth layer computation module, a cavity size computation module and a cavity size judgment module. The method and the device simplify the complexity of the existing rendering algorithm, accelerate rendering, and greatly improve the accuracy of cavity type judgment.

At least one embodiment of that present disclosure provides an image display method, a display system, and a computer-readable storage medium. The image display method includes: acquiring a first image; Determining a first region and a second region in the first image; Processing the first region with a first rendering algorithm and processing the second region with a second rendering algorithm toobtain a second image, wherein the rendering resolution of the first rendering algorithm is greater than the rendering resolution of the second rendering algorithm; Display a second image. The imagedisplay method adopts different rendering algorithms to process different display areas at the display device, realizes the rendering effect of the fixation point, reduces the data transmission amountof the image, saves the power consumption of the host computer, and improves the refresh rate of the display picture.

The invention discloses a point cloud data three-dimensional visualization rendering method and calculation method, and particularly comprises the following steps: S1, generating point cloud data witha standardized definition format through a conversion means without excluding other data, and relates to the technical field of point cloud data three-dimensional visualization. The method comprisesthe following steps of after normalizing and classifying data, performing point cloud rendering; performing vertex rendering, mapping rendering based on a three-dimensional grid, grid reconstruction rendering based on a triangulation algorithm, point cloud motion animation and point cloud particle animation. Multiple rendering algorithms of point cloud data are realized, rendering modes and effects of algorithms are different, the algorithms have different application directions, the method can supplement each other. Operation is more reliable, the rapid rendering of the point cloud data is realized through an efficient algorithm, and the rendering time of more than ten minutes is reduced to several minutes or dozens of seconds.