Dynamic AR Brush Rendering for Authentic Sugar Painting Effects
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Solution Overview
Problem
Existing image processing technologies using augmented reality (AR) brushes fail to produce authentic and aesthetic effect images, as they do not consider actual factors, resulting in a poor user experience.
Innovation Solution
A method and apparatus for processing an effect image by obtaining an image, determining a brush model corresponding to the image, and rendering a line in the brush model based on drawing parameters to produce an effect image consistent with actual drawing effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If AR brushes are used to add effects during video shooting, then the video shooting process is simplified and fun is enhanced, but the rendered effects deviate greatly from actual images and lack authenticity
Solution Approach 1:
The patent changes the rendering parameters by introducing drawing parameters (pressure sensitivity, brush size, color depth) that dynamically adjust based on actual image characteristics. This allows the effect rendering to accurately reflect real-world sugar painting effects while maintaining ease of use through automated parameter adjustment.
Solution Approach 2:
The system incorporates feedback mechanisms by analyzing actual image characteristics (lighting, texture, subject matter) and using this information to adjust rendering parameters. This feedback loop ensures that the rendered effects remain authentic and aesthetically pleasing while simplifying the user operation.
2Productivity
If effects are added using fixed AR brush models, then the processing speed is maintained, but the effects fail to consider actual factors such as lighting and texture
Solution Approach 1:
The patent performs preliminary analysis of image characteristics (detecting lighting conditions, texture types, and subject matter) before rendering the effects. This preliminary action enables the system to pre-adjust rendering parameters to match actual factors, ensuring authenticity while maintaining efficient processing speeds through optimized rendering pipelines.
Solution Approach 2:
The system transitions from fixed AR brush models to dynamic rendering that adapts to actual image characteristics. The rendering parameters are made dynamic, adjusting automatically based on detected lighting, texture, and subject matter, thereby improving effect authenticity without significantly impacting processing speed.
3Device complexity
If simplified AR brush rendering is used, then the computational complexity is reduced, but the effect images lack aesthetic quality and authenticity
Solution Approach 1:
The patent applies local quality by adjusting rendering parameters specifically for different regions and characteristics within the image. Different areas with varying lighting, texture, and subject matter receive customized rendering treatment, improving overall effect image quality while managing computational complexity through targeted processing rather than uniform treatment.
Solution Approach 2:
The system changes rendering parameters dynamically based on local image characteristics, allowing high-quality authentic effects to be rendered without excessive computational complexity. By adjusting parameters such as brush size, color depth, and pressure sensitivity locally, the system achieves aesthetic quality while maintaining reasonable computational requirements.
Data Source
AI summary
Provided in the embodiments of the present disclosure are a method and apparatus for processing an effect image, and an electronic device and a storage medium. The method comprises: obtaining an image to be processed; determining a brush model to be rendered that corresponds to the image to be processed; and rendering, according to a drawing parameter, a line to be rendered in the brush model to be rendered, and obtaining the effect image corresponding to the image to be processed.