Face Image Rendering via Eye Sight Line Tracking
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Solution Overview
Problem
Existing face image processing methods cannot accurately reflect the real state of eyes by fixing rendering effects near the eye position, failing to follow the actual direction of the eyes.
Innovation Solution
A face image processing method that obtains sight line information using a preset recognition algorithm, determines a target area based on this information, and renders a preset effect material to the target area to create a target image that follows the eye's sight line, allowing for dynamic and realistic rendering effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If rendering effects are fixed near the eye position, then the rendering process is simple, but the rendering effect cannot reflect the real state of the eyes
Solution Approach 1:
The patent makes the rendering effect dynamic by tracking the eye's sight line direction in real-time. The rendering position is no longer fixed but dynamically adjusted according to where the eye is actually looking, achieved through obtaining sight line information and calculating the intersection point with the image edge.
Solution Approach 2:
The patent changes the parameter of rendering position from a fixed coordinate near the eye to a dynamic coordinate determined by sight line direction. By using the intersection of the sight line with the image edge as the rendering position, the system adapts to different eye states and directions.
2Reliability
If rendering effects follow the eye's sight line, then the visual realism is improved, but the calculation and determination of target area becomes more complex
Solution Approach 1:
The patent uses the eye's own sight line information to determine the rendering position. The sight line, which naturally extends from the eye to the object of focus, automatically provides the direction and position information needed, eliminating the need for complex external measurement systems.
Solution Approach 2:
The patent replaces complex mechanical or manual methods of determining eye direction with an algorithmic approach. By using preset recognition algorithms to obtain sight line information and calculate intersection points, the system achieves accurate tracking without complex hardware.
3Manufacturing precision
If the target area is determined based on sight line information, then the rendering accuracy is improved, but the processing time increases
Solution Approach 1:
The patent performs preliminary actions by obtaining sight line information and determining the target area before actually applying the rendering effect. This ensures that the rendering is applied to the correct position and area, improving accuracy while allowing for optimized processing through pre-calculation.
Solution Approach 2:
The patent creates a simplified representation of the eye's sight line as a geometric entity that can be easily processed. By copying the essential directional information into a mathematical model (line segment with endpoints), the system achieves accurate rendering positioning without complex processing of actual eye anatomy.
Data Source
AI summary
A face image processing method and apparatus, a readable medium, and an electronic device, relates to the field of image processing technologies. The method includes: obtaining (101) sight line information in a face image to be processed in accordance with a preset recognition algorithm, where the sight line information includes: a first coordinate and an edge coordinate for an eye, and the edge coordinate is used to indicate an intersection of a sight line of an eye and an edge of the face image; determining (102) a target area in the face image according to the sight line information, where the target area includes a sight line segment with the first coordinate and the edge coordinate as endpoints; and rendering (103) a preset effect material to target area to obtain a target image.