Facial Line-of-Sight Angle Adjustment for Camera-Focused Interaction
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Solution Overview
Problem
Line-of-sight deviation and non-focus issues during interactions using teleprompters significantly reduce interaction efficiency in intelligent terminal interactions.
Innovation Solution
A method and apparatus for adjusting the line-of-sight angle of a user's facial image to a target angle using a line-of-sight angle adjustment model, which processes facial images to ensure the line-of-sight is aligned with the camera, improving interaction efficiency by displaying the adjusted image to clients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a teleprompter is used to display text for anchor users, then interaction efficiency is improved, but line-of-sight deviation and non-focus occur reducing interaction effect
Solution Approach 1:
The system collects facial images in real-time, detects line-of-sight angles, compares them with target angles, and dynamically adjusts the display content or notifies users when line-of-sight deviation occurs. This closed-loop feedback mechanism ensures the anchor user maintains proper eye contact with the camera while reading teleprompter content, resolving the contradiction between interaction efficiency and interaction effect
Solution Approach 2:
The patent replaces manual monitoring and adjustment of line-of-sight with an automated image processing system. The system uses facial recognition algorithms and angle calculation to automatically detect and correct line-of-sight deviation, eliminating the need for manual intervention while maintaining natural eye contact appearance
2Reliability
If line-of-sight angle adjustment is performed on facial images, then interaction effect is improved, but processing complexity increases
Solution Approach 1:
The image processing system divides the facial image into key components (eyes, pupils, facial landmarks) and processes each segment independently to calculate line-of-sight angles. This segmentation approach simplifies the overall processing complexity by breaking down the complex task of line-of-sight detection into manageable sub-tasks
Solution Approach 2:
The system automatically detects facial features, calculates line-of-sight angles, and determines adjustment requirements without external intervention. The self-service nature of the automated detection and adjustment process reduces operational complexity while maintaining high interaction effect
Data Source
AI summary
The present disclosure discloses a method, apparatus, electronic device, and storage medium for line-of-sight angle adjustment. The line-of-sight angle adjustment method comprises: collecting a facial image to be processed of a target user, processing the facial image to be processed based on a target line-of-sight angle adjustment model to obtain a target facial image corresponding to the facial image to be processed, the target line-of-sight angle adjustment model is used to adjust the line-of-sight angle of a user in the facial image to the target angle; and displaying the target facial image to at least one client.