Depth-Aware Effect Fusion for Human-Region Image Rendering
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Solution Overview
Problem
Existing image processing technologies struggle with accurately matching effects to specific regions in images, leading to poor realism and clipping issues, which degrade the user experience.
Innovation Solution
A method and apparatus that determine a to-be-processed effect fusion model based on the effect attribute and human body segmentation region, using pixel depth information to render the effect accurately within the image, avoiding clipping and enhancing realism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If effects are added to specific regions in images using conventional image processing, then the image can be enhanced with visual effects, but the effects cannot be accurately matched with the picture of the region and clipping occurs
Solution Approach 1:
The patent introduces a new dimension of depth information (Z-axis) to the traditional two-dimensional image processing. By obtaining depth data from a depth sensor or depth map, the system creates a three-dimensional effect fusion model that accurately represents spatial relationships. This dimensional extension allows effects to be positioned and rendered with precise depth awareness, preventing clipping by ensuring effects are rendered at appropriate depth levels relative to the target region and surrounding content.
Solution Approach 2:
The patent introduces an effect fusion model as an intermediary layer between the original image and the final rendered output. This fusion model incorporates depth information and serves as a mediator that calculates appropriate blending and positioning of effects. The fusion model acts as a computational intermediary that processes both the image data and depth data to produce accurate effect placement, preventing direct rendering issues that cause clipping.
2Manufacturing precision
If conventional effect rendering is used, then the processing speed is maintained, but the realism of the effect image deteriorates due to inaccurate region matching
Solution Approach 1:
The patent performs preliminary actions by pre-obtaining and processing depth information before effect rendering. The depth map or depth sensor data is acquired and processed in advance to create the effect fusion model. This preliminary depth processing enables subsequent effect rendering to proceed efficiently with pre-calculated spatial relationships, maintaining rendering speed while achieving accurate region matching through the pre-established depth-aware fusion model.
Solution Approach 2:
The patent replaces traditional trial-and-error or manual effect positioning methods with an automated depth-based rendering system. Instead of mechanically adjusting effect positions through user interaction or iterative rendering, the system uses depth information to automatically calculate and render effects at correct positions and depths. This substitution of automated depth-aware algorithms for manual or brute-force methods maintains high processing efficiency while achieving superior matching accuracy.
Data Source
AI summary
The present disclosure provides an effect image processing method and apparatus, an electronic device, and a storage medium. The method includes: determining a to-be-processed effect fusion model according to an effect attribute of a target effect to be overlaid; in response to receiving a target effect display instruction, determining a target effect fusion model according to the to-be-processed effect fusion model and a human body segmentation region in a to-be-processed image corresponding to a target object; and writing pixel depth information corresponding to the target effect fusion model into a rendering engine, to enable the rendering engine to render a target image corresponding to the to-be-processed image based on the pixel depth information, in which the target image includes the target effect.