Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Multiview active shape models with SIFT descriptors
This thesis presents techniques for locating landmarks in images of human faces. A modified Active Shape Model (ASM [21]) is introduced that uses a form of SIFT descriptors [68]. Multivariate Adaptive Regression Splines (MARS [40]) are used to efficiently match descriptors around landmarks. This mod...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Electrical Engineering
2017
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: Multiview active shape models with SIFT descriptors
- Evaluating the fairness of identification parades with measures of facial similarity
- Inhibitors to the adoption of facial recognition payments
- An exploratory study on the influence of the own-race bias on the serial position effect in facial recognition
- Real-time video sentiment analysis through the use of snapshots
- Active object recognition for 2D and 3D applications
- Investigation of ship target recognition using neural networks in conjunction with the Fourier Mellin transform