Honda motor co., ltd. (20240331279). SYSTEM AND METHOD FOR COMPLETING THREE DIMENSIONAL FACE RECONSTRUCTION simplified abstract
Contents
SYSTEM AND METHOD FOR COMPLETING THREE DIMENSIONAL FACE RECONSTRUCTION
Organization Name
Inventor(s)
Kunal Nandanwar of Worcester MA (US)
Nawid Jamali of San Francisco CA (US)
Hifza Javed of San Jose CA (US)
SYSTEM AND METHOD FOR COMPLETING THREE DIMENSIONAL FACE RECONSTRUCTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331279 titled 'SYSTEM AND METHOD FOR COMPLETING THREE DIMENSIONAL FACE RECONSTRUCTION
Simplified Explanation: The patent application describes a system and method for reconstructing three-dimensional faces using multiple two-dimensional non-frontal face images.
- Analyzing image data from non-frontal face images
- Extracting two-dimensional facial features
- Constructing sparse three-dimensional facial feature point clouds
- Inputting point clouds into an encoder-decoder architecture to generate complete three-dimensional facial features
Key Features and Innovation:
- Utilizes multiple non-frontal face images for reconstruction
- Extracts two-dimensional facial features for analysis
- Generates sparse three-dimensional facial feature point clouds
- Utilizes encoder-decoder architecture for complete three-dimensional face reconstruction
Potential Applications:
- Biometric identification systems
- Virtual reality applications
- Medical imaging technologies
Problems Solved:
- Difficulty in reconstructing three-dimensional faces from non-frontal images
- Incomplete facial feature extraction from two-dimensional images
Benefits:
- Improved accuracy in three-dimensional face reconstruction
- Enhanced facial recognition capabilities
- Better visualization in virtual environments
Commercial Applications: Facial recognition software development for security systems and law enforcement agencies.
Prior Art: Prior research in computer vision and facial recognition technologies may provide insights into similar methods for three-dimensional face reconstruction.
Frequently Updated Research: Stay updated on advancements in computer vision, facial recognition, and image processing technologies for potential improvements in three-dimensional face reconstruction.
Questions about Three-Dimensional Face Reconstruction: 1. How does the system handle variations in lighting and facial expressions in the input images? 2. What are the potential limitations of using non-frontal face images for three-dimensional face reconstruction?
Original Abstract Submitted
a system and method for completing three dimensional face reconstruction that includes receiving image data associated with multiple two dimensional non-frontal face images. the system and method also includes analyzing the image data and extracting two dimensional facial features. the system and method additionally includes constructing sparse three dimensional facial feature point clouds based on the two dimensional facial features. the system and method further includes inputting the sparse three dimensional facial feature point clouds into an encoder-decoder architecture to generate a three dimensional facial feature point cloud of complete facial features.
