Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/112827| Title: | As plain as the nose on your face? |
| Authors: | Varley, Peter A. C. Cristina, Stefania Bonnici, Alexandra Camilleri, Kenneth |
| Keywords: | Tracking (Engineering) Eye tracking Tracking (Engineering) Human face recognition (Computer science) |
| Issue Date: | 2021 |
| Publisher: | SCITEPRESS – Science and Technology Publications |
| Citation: | Varley, P. A. C., Cristina, S., Bonnici, A. & Camilleri, K. (2021). As plain as the nose on your face? 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021). 471-47 |
| Abstract: | We present an investigation into locating nose tips in 2D images of human faces. Our objective is conference- room gaze-tracking, in which a presenter can control a presentation or demonstration by gaze from a distance in the range 2m to 10m. In a first step towards this, we here consider faces in the range 150cm to 300cm. Head pose is the major contributing component of gaze direction, and nose tip position within the image of the face is a strong clue to head pose. To facilitate detection of nose tips, we have implemented a combination of two Haar cascades (one for frontal noses and one for profile noses) with a lower failure rate than existing cascades, and we have examined a number of ”hand-crafted ferns” for their potential to locate the nose tip within the nose-like regions returned by our Haar cascades. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/112827 |
| Appears in Collections: | Scholarly Works - FacEngSCE |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| As Plain as the Nose on Your Face?.pdf | 432.21 kB | Adobe PDF | View/Open |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.