Facial-Landmark Ideogram Generation for Real-Time Image Streams
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Solution Overview
Problem
Existing methods for generating ideograms in telecommunication applications do not utilize facial recognition or facial landmarks to create avatars or ideograms from real-time image streams on client devices, lacking customization and failing to reflect user images, and are centrally generated by entities distributing applications.
Innovation Solution
A client device-based ideogram generation system that identifies facial landmarks and characteristics from images or video streams to generate customizable avatars or ideograms, allowing user interaction and real-time modification of video streams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If ideograms are centrally generated by entities distributing applications, then the generation process is simplified and controlled centrally, but the ideograms lack customization and do not reflect user images
Solution Approach 1:
The system enables client devices to autonomously generate ideograms from user-provided images using facial recognition and facial landmark detection. The client device performs the generation process locally without requiring central server intervention, allowing each user to customize their own ideogram based on their facial features while maintaining the simplicity of the overall process through automated processing
2Adaptability or versatility
If real-time image stream processing is implemented on client devices, then customization and reflection of user images is achieved, but device complexity increases
Solution Approach 1:
The system extracts and processes only the essential facial features and landmarks from the image stream rather than processing the entire image in detail. By focusing computation on identifying facial landmarks and extracting relevant facial characteristics, the system achieves customization while minimizing the processing complexity required on client devices
Solution Approach 2:
The system transforms the complex task of real-time image processing into a series of parameter-based operations. Instead of processing every pixel, the system changes the approach by detecting and using specific facial landmark parameters and characteristics, which significantly reduces computational complexity while maintaining customization capability
Data Source
AI summary
Systems, devices, media, and methods are presented for generating ideograms from a set of images received in an image stream. The systems and methods detect at least a portion of a face within the image and identify a set of facial landmarks within the portion of the face. The systems and methods determine one or more characteristics representing the portion of the face, in response to detecting the portion of the face. Based on the one or more characteristics and the set of facial landmarks, the systems and methods generate a representation of a face. The systems and methods position one or more graphical elements proximate to the graphical model of the face and generate an ideogram from the graphical model and the one or more graphical elements.