- Title
- Multi-angled face segmentation and identification using limited data
- Creator
- Brown, Dane L
- Subject
- To be catalogued
- Date
- 2019
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/465711
- Identifier
- vital:76634
- Identifier
- xlink:href="https://ieeexplore.ieee.org/abstract/document/9067899"
- Description
- This paper introduces a different approach to face segmentation that aims to improve face recognition when given large pose angles and limited training data. Face segmentation is achieved by extracting landmarks which are manipulated in such a way as to normalize unseen data with a classification model. The approach is compared with related systems, followed by further tests that show consistent results across other datasets. Experiments include frontal and non-frontal training images for classification of various face pose angles. The proposed system is a promising contribution, and especially shows the importance of face segmentation. The results are achieved using minimal training data, such that both accurate and practical face recognition systems can be constructed.
- Format
- computer, online resource, application/pdf, 1 online resource (7 pages), pdf
- Publisher
- IEEE Xplore
- Language
- English
- Relation
- 15th International Conference on Signal-Image Technology and Internet-Based Systems (SITIS), Brown, D., 2019, November. Multi-angled face segmentation and identification using limited data. In 2019 15th International Conference on Signal-Image Technology and Internet-Based Systems (SITIS) (pp. 98-105). IEEE, 15th International Conference on Signal-Image Technology and Internet-Based Systems (SITIS) p. 98 2019
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the IEEE Xplore Terms of Use Statement (https://ieeexplore.ieee.org/Xplorehelp/overview-of-ieee-xplore/terms-of-use)
- Rights
- Closed Access
- Hits: 34
- Visitors: 34
- Downloads: 0
Collections
Brown, Dane A (Dr)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details | SOURCE1 | Multi-angled face segmentation and identification using limited data.pdf | 645 KB | Adobe Acrobat PDF | View Details |