A material cutting and distortion optimization system for a special-shaped screen
By combining interactive configuration, distortion calculation, and material processing layers, a 3D model is generated and differentially corrected, solving the problems of image distortion and splicing in the processing of irregularly shaped screen materials, and achieving high-precision material adaptation and display effects.
Patent Information
- Application Number
- CN202611249324.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-08-18
- Publication Date
- 2026-11-06
AI Technical Summary
Existing technologies for processing irregularly shaped screen materials cannot incorporate the true curvature characteristics of the screen, resulting in severe pixel stretching and distortion, image distortion, a lack of real-world spatial modeling capabilities, and independent material cutting and distortion correction mechanisms, making it difficult to adapt to irregularly shaped screens.
The system uses an interactive configuration layer to input real-world parameters, generates a 3D model, and establishes a spatial coordinate system. It then uses a distortion calculation layer to differentiate and correct viewing areas, and combines curvature-sensing cutting in the material processing layer with pixel mapping in the mapping output layer to achieve adaptive cropping and precise matching of materials.
It achieves accurate adaptation and distortion-free display of materials for irregularly shaped screens, improves picture quality and multi-screen splicing effect, and adapts to various irregularly shaped screen forms.
Smart Images

Figure CN123051667A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of screen display processing related products, specifically a material cutting and distortion optimization system for irregularly shaped screens. Background Technology
[0002] With the rapid development of immersive displays, commercial light and shadow performances, and cultural and creative displays in exhibition halls, conventional rectangular screens can no longer meet the needs of personalized and scenario-based visual displays. Irregularly shaped screens, with their advantages of free-form surfaces, multi-segment bends, and irregular shapes, are widely used in commercial complexes, science museums, cultural tourism performances, and immersive spaces. Irregularly shaped screens include various forms such as single-arc curved surfaces, multi-segment bends, and irregular free-form curved surfaces. Their screen curvature, installation tilt angle, splicing structure, and spatial posture lack unified standards, making it impossible to directly adapt and display conventional standardized video and image materials.
[0003] Current technologies for processing irregularly shaped screen materials have several core flaws: First, traditional material cutting methods often use uniform grid cutting, failing to consider the actual curvature characteristics of irregularly shaped screens. High-curvature bending areas suffer from severe pixel stretching and compression distortion, while low-curvature planar areas exhibit pixel redundancy, resulting in overall image distortion and extremely poor visual quality. Second, existing distortion correction schemes are mostly globally uniform, failing to differentiate between the viewer's optimal viewing area and failing to provide differentiated correction for the main viewing area, side viewing area, and blind spots. This leads to insufficient precision in the core viewing area, incomplete distortion suppression in edge areas, and an imbalance in visual hierarchy. Third, existing technologies... The technology lacks the ability to model real-world spaces, and most of the material adaptation is based solely on the screen's planar dimensions. It fails to construct a spatial coordinate system by considering the screen's installation tilt angle, height from the ground, spatial posture, and the optimal viewing point for the audience, thus making it impossible to achieve accurate distortion calculation based on the actual viewing perspective. Fourth, the material cutting, distortion correction, and pixel mapping output are all independent of each other, and there is no unified two-way pixel mapping mechanism. This results in low matching degree between the cut material and the screen's physical pixels, obvious jagged edges, poor multi-screen splicing and fusion effects, and insufficient compatibility of output files, making it difficult to adapt to mainstream LED sending cards, fusion processors, and immersive broadcast control systems. Summary of the Invention
[0004] The purpose of this invention is to provide a material cutting and distortion optimization system for irregularly shaped screens, so as to solve the problems mentioned in the background art.
[0005] To achieve the above objectives, the present invention provides the following technical solution: a material cutting and distortion optimization system for irregularly shaped screens, comprising an interactive configuration layer for inputting the real-world physical parameters of the irregularly shaped screen, importing CAD drawings, and calibrating the optimal viewing angle points for the audience, generating a global viewing space coordinate system; a 3D modeling layer, with a built-in parametric triangular mesh adaptive subdivision algorithm, for generating a 3D model that matches the irregularly shaped screen at a 1:1 scale based on the real-world physical parameters, and baking physical pixel points to establish a spatial pixel coordinate library; and a distortion calculation layer, for calculating the viewing distance and incident angle of each screen grid point based on the optimal viewing angle points, generating viewing weights. The system employs a multi-level distortion correction coefficient solution algorithm to perform differentiated distortion suppression in the main view area, side view area, and blind area. The material processing layer incorporates a curvature-aware intelligent cutting model and a surface inverse pre-distortion pixel resampling algorithm. This model adaptively performs non-uniform mesh cropping of the original material based on the curvature gradient of the 3D model, and performs pre-distortion during the cropping process to offset screen display distortion. The mapping output layer constructs a three-level point-to-point bidirectional hash mapping table between source material pixels, spatial coordinates, and screen physical pixels. Based on this mapping table, it generates material files and point-to-point output configuration files adapted to the resolution and curvature of irregularly shaped screens.
[0006] As a preferred embodiment of the present invention, the interactive configuration layer further includes: a real-scene parameter input module for visually inputting the screen's physical dimensions, radius of curvature, bending angle, splicing structure, installation tilt angle, and height above the ground; an optimal viewing angle configuration module for supporting three-point calibration or coordinate input to set the best viewing point for the audience; a material management module for importing and preprocessing original materials such as images, videos, and sequence frames; and a visual preview module for real-time previewing of the screen model, material bonding effect, distortion heatmap, and pixel mapping points in a 3D viewport.
[0007] As a preferred embodiment of the present invention, the three-dimensional modeling layer further includes: a parametric mesh generation unit, used to generate a sub-pixel level three-dimensional triangular mesh model according to the input parameters; a free-form surface decomposition unit, used to automatically partition and number multiple bent or irregular curved surfaces to generate independent curvature sub-models; and a pixel coordinate baking unit, used to bake the physical pixel points of the screen to the three-dimensional triangular mesh model to establish a spatial pixel coordinate library.
[0008] As a preferred embodiment of the present invention, the distortion calculation layer further includes: a viewpoint weight calculation unit, used to calculate the viewing distance, incident angle and azimuth angle of each screen grid point based on the optimal observation point, and generate a floating-point viewpoint weight matrix; a layered distortion correction unit, used to apply low-deformation high-precision correction to the main view area, balanced correction to the side view area, and strong distortion cancellation correction to the blind area; and a geometric distortion pre-cancellation unit, used to perform reverse pre-deformation on the cut material based on the inherent deformation parameters of the screen curvature.
[0009] As a preferred embodiment of the present invention, the material processing layer further includes: a curvature-aware intelligent cutting unit, used to densify the sampling grid in the high curvature region and simplify the sampling grid in the low curvature region according to the curvature gradient of the three-dimensional grid; an edge blending and anti-aliasing unit, used to perform sub-pixel anti-aliasing processing on the cutting edges and to perform light and shadow transition blending on the edges of multi-partition materials; and a material resampling unit, used to perform adaptive pixel redistribution on the materials according to the screen physical resolution.
[0010] As a preferred embodiment of the present invention, the mapping output layer further includes: a point-to-point mapping table generation unit, used to establish a bidirectional index table from source material pixels to screen physical pixels; an engineering file encapsulation unit, used to encapsulate model parameters, cutting trajectories, correction coefficients and mapping relationships into engineering files; and a multi-format export unit, used to export material files and mapping configuration files adapted to LED sending cards, fusion processors and immersive broadcast control software.
[0011] A method for material cutting and distortion optimization for irregularly shaped screens includes the following steps:
[0012] Step 1: Obtain the real-world physical parameters and optimal viewing angle of the irregularly shaped screen through the interactive configuration layer;
[0013] Step 2: Generate a 3D model and pixel coordinate library that matches the on-site screen based on the parameters through the 3D modeling layer;
[0014] Step 3: Generate a viewpoint weight matrix based on the optimal viewpoint position through the distortion calculation layer, and perform multi-level distortion suppression;
[0015] Step 4: Adaptive cutting and reverse pre-distortion processing of the original material based on curvature perception are performed through the material processing layer;
[0016] Step 5: Establish a three-level pixel mapping table through the mapping output layer, and output source files and configuration files with precise point-to-point matching.
[0017] Compared with the prior art, the beneficial effects of the present invention are:
[0018] 1. This invention combines the physical parameters of the actual screen with CAD drawings and generates a 1:1 subpixel-level 3D model through a parametric triangular mesh adaptive subdivision algorithm. It can automatically decompose multiple bends and irregular free-form surfaces, accurately adapt to various unconventional screens such as single arcs, multiple folds, and irregular free-form surfaces, and solve the problem of large deviation between traditional planar modeling and the actual screen.
[0019] 2. This invention constructs a viewpoint weight matrix based on the viewer's optimal viewpoint position, distinguishes between the main view area, side view area, and blind area, and adopts different levels of distortion correction strategies. The core viewing area is guaranteed to have high precision and low distortion, while the edge blind area is completely offset by distortion, thus completely solving the pain points of traditional global correction that do not distinguish between the main and secondary areas and have poor viewing experience in the core area. Attached Figure Description
[0020] Figure 1 This is a schematic diagram of a material cutting and distortion optimization system for irregularly shaped screens according to the present invention;
[0021] Figure 2 This is a schematic diagram of the interactive configuration layer of a material cutting and distortion optimization system for irregularly shaped screens according to the present invention.
[0022] Figure 3 This is a schematic diagram of a three-dimensional modeling layer for a material cutting and distortion optimization system for irregularly shaped screens according to the present invention.
[0023] Figure 4 This is a schematic diagram of the distortion calculation layer of a material cutting and distortion optimization system for irregularly shaped screens according to the present invention.
[0024] Figure 5 This is a schematic diagram of the material processing layer of a material cutting and distortion optimization system for irregularly shaped screens according to the present invention;
[0025] Figure 6 This is a schematic diagram of the mapping output layer of a material cutting and distortion optimization system for irregularly shaped screens according to the present invention. Detailed Implementation
[0026] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.
[0027] In the description of this invention, it should be noted that the terms "upper," "lower," "inner," "outer," "front end," "rear end," "both ends," "one end," and "the other end," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.
[0028] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installed," "equipped with," "connected," etc., should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.
[0029] Please see Figure 1-3 One embodiment provided by the present invention:
[0030] Example 1
[0031] Layered Implementation of Irregular Screen Material Cutting and Distortion Optimization System
[0032] The system of this invention adopts a five-layer modular architecture, with each layer having independent functions and interconnected layers, realizing intelligent processing of irregularly shaped screen materials from parameter configuration, modeling calculation, distortion optimization to material output. The specific implementation method is as follows:
[0033] Interactive Configuration Layer: Serving as the system's human-computer interaction entry point, this layer supports two screen parameter input methods. Users can manually and visually input real-world parameters such as screen physical dimensions, radius of curvature, multi-segment bending angles, module splicing structure, on-site installation tilt angle, and ground clearance. Alternatively, they can directly import on-site CAD construction drawings for automatic parameter parsing. It also supports two modes: manual three-point calibration or precise coordinate input, locating the optimal viewing angle for the audience and using this as a benchmark to construct a global three-dimensional spatial coordinate system. The material management module supports the import and format preprocessing of various immersive materials, including images, short videos, and sequence frames. The visual preview module can render irregularly shaped screen 3D models, material real-time fitting effects, distortion distribution heatmaps, and pixel mapping points in real-time within the 3D viewport, facilitating real-time verification of parameter rationality by staff.
[0034] 3D Modeling Layer: Based on the real-world parameters entered in the interactive configuration layer, a 1:1 sub-pixel-level 3D triangular mesh model is generated using a parametric triangular mesh adaptive subdivision algorithm, perfectly matching the irregularly shaped screen on site. The model achieves sub-pixel accuracy, precisely reproducing the subtle bends and curvatures of the screen. For multi-segment bends and irregular free-form surfaces, the free-form surface decomposition unit automatically identifies surface segment nodes, automatically partitions and numbers multiple regions, and generates multiple independent curvature sub-models, providing model support for subsequent partition distortion correction and partition material cutting. The pixel coordinate baking unit maps and bakes all physical pixels of the screen onto the surface of the 3D triangular mesh model, establishing a global spatial pixel coordinate library containing spatial position, curvature parameters, and pixel numbers, achieving precise digital modeling of the screen's physical pixels.
[0035] Distortion Calculation Layer: Using the optimal viewpoint as the core benchmark, the viewpoint weight calculation unit traverses all screen grid points of the 3D model, accurately calculating the straight-line viewing distance, incident angle, and horizontal azimuth angle of each grid point relative to the optimal observation point. Based on parameter differences, a high-precision floating-point viewpoint weight matrix is generated to accurately distinguish the visual importance of different areas. Layered Distortion Correction Unit: Screen areas are divided according to viewpoint weights. The main view area, with the highest weight, employs a low-deformation, high-precision correction algorithm to maximize the preservation of original image details and ensure lossless image quality in the core viewing area. The side view areas, with moderate weights, use a balanced correction strategy that balances accuracy and distortion, taking into account both image details and overall visual uniformity. Blind spots with extremely low weights are corrected with strong distortion cancellation, completely eliminating edge surface distortion and stretching issues. Geometric Distortion Pre-Cancellation Unit: Combining the screen's inherent curvature and bending deformation parameters, the unit performs reverse pre-deformation processing on the material to be cut, preemptively canceling the inherent display distortion caused by the screen's hardware curvature.
[0036] Material Processing Layer: Utilizing 3D model curvature gradient data, a curvature-aware intelligent cutting unit enables adaptive non-uniform mesh cropping of materials. For areas with high curvature and large bending deformation on the screen, the material sampling mesh is automatically encrypted to avoid image blurring and distortion caused by surface stretching. For low curvature and near-planar areas, the sampling mesh is automatically simplified to reduce redundant pixel data and improve material rendering and playback efficiency. Edge Blending and Anti-aliasing Unit: All material cutting edges undergo sub-pixel anti-aliasing smoothing to eliminate jagged edges and rough edges caused by hard cutting. Simultaneously, it performs light and shadow gradient transitions and blending on adjacent material edges of multi-screen partitions to solve multi-screen splicing issues such as layering and color fragmentation. Material Resampling Unit: Based on the actual physical resolution and pixel pitch of the irregularly shaped screen, the cropped material undergoes adaptive pixel redistribution to achieve precise matching between material pixels and the screen's physical pixel resolution.
[0037] The mapping output layer: Through the point-to-point mapping table generation unit, a three-level point-to-point bidirectional hash mapping table is constructed between the original pixels of the source material, 3D spatial coordinates, and screen physical pixels, forming a unique and accurate bidirectional pixel index relationship, supporting forward material mapping display and reverse pixel tracing verification. The project file encapsulation unit uniformly encapsulates all screen model parameters, surface partition data, material cutting trajectories, distortion correction coefficients, and pixel mapping relationships into standardized project files, supporting subsequent secondary editing, parameter fine-tuning, and reuse. The multi-format export unit can export image, video, sequence frame material files, and mapping configuration files adapted to LED sending cards, video fusion processors, and immersive special screen broadcast control software, directly connecting to on-site playback hardware without secondary conversion and debugging.
[0038] Example 2
[0039] The material cutting and distortion optimization method for irregularly shaped screens of the present invention achieves fully automated and intelligent processing based on the above-mentioned system. The specific steps are as follows:
[0040] Step 1: Real-world parameter configuration and perspective calibration: Staff enter the physical parameters of the irregularly shaped screen through the interactive configuration layer, or import on-site CAD drawings to automatically parse the parameters. Based on the viewing habits of the audience in the exhibition hall and performance venue, the optimal observation point is marked using the three-point calibration method, and the system automatically generates a global perspective spatial coordinate system. At the same time, the original images, videos, or sequence frame materials to be displayed are imported to complete the material format preprocessing and material library loading.
[0041] Step 2, Real-world 3D Modeling and Pixel Library Construction: Based on the input real-world parameters, the 3D modeling layer calls the parametric triangular mesh adaptive subdivision algorithm to generate a 1:1 replica of the subpixel-level irregular screen 3D model, and automatically partitions and disassembles multi-bend and irregular curved surfaces; then, all physical pixels of the screen are baked onto the surface of the 3D model, and spatial coordinates and curvature parameters are associated to establish a complete global spatial pixel coordinate library.
[0042] Step 3: Partition Weight Calculation and Multi-level Distortion Correction: The distortion calculation layer uses the optimal observation point as a reference to calculate the screen grid viewing distance, incident angle, and azimuth angle point by point, generating a global viewing angle weight matrix. Based on the weights, the main viewing area, side viewing area, and blind area are divided. Differentiated correction algorithms are executed for different areas to complete layered distortion suppression. Combined with the inherent deformation parameters of the screen curvature, geometric distortion inverse pre-cancellation processing is performed on the material to eliminate curved display defects from a visual perspective.
[0043] Step 4: Curvature Adaptive Material Cutting and Optimization: The material processing layer reads the curvature gradient data of the 3D model and performs curvature-aware intelligent cutting to achieve non-uniform adaptive cropping with high curvature encryption and low curvature simplification; sub-pixel anti-aliasing is performed on all cutting edges, edge lighting and shadow fusion is performed on multi-partition materials, and finally, the material pixel adaptive redistribution and inverse pre-distortion optimization are completed in combination with the screen physical resolution to obtain distortion-free and highly adaptable optimized materials.
[0044] Step 5, Pixel Mapping and Multi-Format File Output: The mapping output layer constructs a three-level bidirectional hash mapping table of material pixels-spatial coordinates-screen physical pixels to complete the accurate matching and indexing of all pixel positions; all model parameters, correction data, and cutting trajectories are encapsulated into editable project files, and material files and mapping configuration files adapted to on-site LED hardware, fusion processors, and immersive broadcast control systems are exported for direct use in accurate playback and display on irregularly shaped screens on-site.
[0045] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.
Claims
1. A material cutting and distortion optimization system for irregularly shaped screens, characterized in that, The system includes an interactive configuration layer for inputting the real-world physical parameters of the irregularly shaped screen, importing CAD drawings, and marking the optimal viewing angle points for the audience, generating a global viewing space coordinate system; a 3D modeling layer with a built-in parametric triangular mesh adaptive subdivision algorithm for generating a 1:1 matching 3D model of the irregularly shaped screen based on the real-world physical parameters, and baking physical pixel points to establish a spatial pixel coordinate library; and a distortion calculation layer for calculating the viewing distance and incident angle of each screen grid point based on the optimal viewing angle points, generating a viewing weight matrix, and employing a multi-level distortion correction coefficient solution algorithm. Differentiated distortion suppression is performed in the main view area, side view area, and blind area; the material processing layer has a built-in curvature-aware intelligent cutting model and surface inverse pre-distortion pixel resampling algorithm, which is used to adaptively non-uniform mesh crop the original material according to the curvature gradient of the 3D model, and complete pre-distortion during the cropping process to offset the screen display distortion; the mapping output layer is used to construct a three-level point-to-point bidirectional hash mapping table between source material pixels, spatial coordinates, and screen physical pixels, and generate material files and point-to-point output configuration files adapted to the resolution and curvature of irregular screens based on the mapping table.
2. The material cutting and distortion optimization system for irregularly shaped screens according to claim 1, characterized in that, The interactive configuration layer further includes: a real-scene parameter input module for visually inputting the screen's physical dimensions, radius of curvature, bending angle, splicing structure, installation tilt angle, and height above the ground; an optimal viewing angle configuration module that supports setting the best viewing point for the audience using three-point calibration or coordinate input methods; a material management module for importing and preprocessing original materials such as images, videos, and sequence frames; and a visual preview module for real-time previewing of the screen model, material bonding effect, distortion heatmap, and pixel mapping points in the 3D viewport.
3. The material cutting and distortion optimization system for irregularly shaped screens according to claim 1, characterized in that, The 3D modeling layer further includes: a parametric mesh generation unit, used to generate a sub-pixel level 3D triangular mesh model based on input parameters; a free-form surface decomposition unit, used to automatically partition and number multiple bent or irregular curved surfaces to generate independent curvature sub-models; and a pixel coordinate baking unit, used to bake the physical pixel points of the screen to the 3D triangular mesh model to establish a spatial pixel coordinate library.
4. The material cutting and distortion optimization system for irregularly shaped screens according to claim 1, characterized in that, The distortion calculation layer further includes: a viewpoint weight calculation unit, used to calculate the viewing distance, incident angle and azimuth angle of each screen grid point based on the optimal observation point, and generate a floating-point viewpoint weight matrix; a layered distortion correction unit, used to apply low-deformation high-precision correction to the main view area, balanced correction to the side view area, and strong distortion cancellation correction to the blind area; and a geometric distortion pre-cancellation unit, used to perform reverse pre-deformation on the cut material based on the inherent deformation parameters of the screen curvature.
5. The material cutting and distortion optimization system for irregularly shaped screens according to claim 1, characterized in that, The material processing layer further includes: a curvature-aware intelligent cutting unit, used to encrypt the sampling grid in high curvature areas and simplify the sampling grid in low curvature areas according to the curvature gradient of the three-dimensional grid; an edge blending and anti-aliasing unit, used to perform sub-pixel anti-aliasing processing on the cutting edges and to perform light and shadow transition blending on the edges of multi-partition materials; and a material resampling unit, used to perform adaptive pixel redistribution on the materials according to the screen physical resolution.
6. The material cutting and distortion optimization system for irregularly shaped screens according to claim 1, characterized in that, The mapping output layer further includes: a point-to-point mapping table generation unit, used to establish a bidirectional index table from source material pixels to screen physical pixels; an engineering file encapsulation unit, used to encapsulate model parameters, cutting trajectories, correction coefficients and mapping relationships into engineering files; and a multi-format export unit, used to export material files and mapping configuration files adapted to LED sending cards, fusion processors and immersive broadcast control software.
7. A method for material cutting and distortion optimization for irregularly shaped screens based on the system described in any one of claims 1 to 6, characterized in that, Includes the following steps: Step 1: Obtain the real-world physical parameters and optimal viewing angle of the irregularly shaped screen through the interactive configuration layer; Step 2: Generate a 3D model and pixel coordinate library that matches the on-site screen based on the parameters through the 3D modeling layer; Step 3: Generate a viewpoint weight matrix based on the optimal viewpoint position through the distortion calculation layer, and perform multi-level distortion suppression; Step 4: Adaptive cutting and reverse pre-distortion processing of the original material based on curvature perception are performed through the material processing layer; Step 5: Establish a three-level pixel mapping table through the mapping output layer, and output the material files and configuration files with precise point-to-point matching.
