New Algorithm Compares 3D Faces Faster Using "Average Face"
New algorithm uses average face to compare 3D faces fast.
Why it matters
- New algorithm compares 3D faces much faster than before.
- Uses "average face" to speed up the process.
- Handles holes and edges in scans, making it robust.
By the numbers
- Datasets: 100, 500, and 1000 faces.
- Speedup: hours to minutes, thousands of times faster.
The big picture
- Uses average face to align and compare other faces.
- Addresses real-world 3D scan issues like holes and edges.
What they're saying
- Technique similar to "eigenfaces" and PCA.
- Concerns about surveillance technology misuse.
- Praise for handling noisy facial data effectively.
Caveats
- Tested on facial scans; may not suit other 3D models.
- Depends on polygonal meshes; may struggle with occlusions or head poses.
What’s next
- Automate template face selection.
- Improve pre-alignment strategies.
- Address occlusion and head pose issues.