Real-Time 3D Facial Animation Synchronization Over Low Bandwidth
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Solution Overview
Problem
Current technologies for remote visualization of real-time 3D facial animation with synchronized voice struggle to efficiently capture and transmit accurate, animated human faces over low bandwidth networks, lacking seamless integration of depth data and voice synchronization.
Innovation Solution
A system utilizing a mobile device's depth sensor to capture and process 3D face models, combining color images, depth maps, and voice data, with a computing device that detects facial landmarks, applies non-rigid registration, and synchronizes the 3D face model with voice streams for real-time transmission to remote devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full 3D facial data with depth maps and color images is captured and transmitted in real-time, then visualization quality is improved, but network bandwidth consumption increases
Solution Approach 1:
The patent extracts and transmits only the essential facial animation parameters (landmarks, expressions, key 3D coordinates) rather than complete high-resolution depth maps and color images. This selective extraction maintains facial animation accuracy while dramatically reducing the volume of data that needs to be transmitted over the network.
Solution Approach 2:
Instead of transmitting raw image and depth data and rendering on the remote device, the patent inverts the approach by pre-processing the 3D facial data locally, extracting key animation parameters, and transmitting only these processed parameters. The remote device then reconstructs the visualization from these compact parameters, achieving high quality with low bandwidth.
2Reliability
If real-time processing of multiple data streams (color images, depth maps, voice) is performed, then synchronization quality is improved, but computational complexity increases
Solution Approach 1:
The patent performs preliminary processing of color images and depth maps to detect facial landmarks and extract animation parameters before the actual transmission and synchronization phase. By pre-detecting facial features and pre-processing the 3D model, the system reduces the computational burden during real-time operation, making synchronization more reliable without proportionally increasing overall system complexity.
Solution Approach 2:
The patent segments the processing pipeline into distinct modules: facial landmark detection, 3D model matching, animation parameter extraction, and voice synchronization. Each module handles a specific aspect of the data stream independently, which simplifies the overall system architecture and makes the complex task of real-time synchronization more manageable and reliable.
3Measurement precision
If non-rigid registration is applied to match 3D face model with depth maps, then facial animation realism is improved, but processing time increases
Solution Approach 1:
The patent applies non-rigid registration selectively to match the 3D face model with depth maps only when needed for updating facial animations, rather than continuously. By applying this computationally intensive process only at necessary intervals or when significant facial changes are detected, the system maintains high facial model accuracy while minimizing processing delays and maintaining real-time performance.
Data Source
AI summary
Described herein are methods and systems for remote visualization of real-time three-dimensional (3D) facial animation with synchronized voice. A sensor captures frames of a face of a person, each frame comprising color images of the face, depth maps of the face, voice data associated with the person, and a timestamp. The sensor generates a 3D face model of the person using the depth maps. A computing device receives the frames of the face and the 3D face model. The computing device preprocesses the 3D face model. For each frame, the computing device: detects facial landmarks using the color images; matches the 3D face model to the depth maps using non-rigid registration; updates a texture on a front part of the 3D face model using the color images; synchronizes the 3D face model with a segment of the voice data using the timestamp; and transmits the synchronized 3D face model and voice data to a remote device.