The one triangle three parallelograms sampling strategy and its application in shape regression
(2016) 15th IEEE International Conference on Computer Vision, ICCV 2015 p.1538-1545- Abstract
The purpose of this paper is threefold. Firstly, the paper introduces the One Triangle Three Parallelograms (OTTP) sampling strategy, which can be viewed as a way to index pixels from a given shape and image. Secondly, a framework for cascaded shape regression, including the OTTP sampling, is presented. In short, this framework involves binary pixel tests for appearance features combined with shape features followed by a large linear system for each regression stage in the cascade. The proposed solution is found to produce state-of-the-art results on the task of facial landmark estimation. Thirdly, the dependence of accuracy of the landmark predictions and the placement of the mean shape within the detection box is discussed and a... (More)
The purpose of this paper is threefold. Firstly, the paper introduces the One Triangle Three Parallelograms (OTTP) sampling strategy, which can be viewed as a way to index pixels from a given shape and image. Secondly, a framework for cascaded shape regression, including the OTTP sampling, is presented. In short, this framework involves binary pixel tests for appearance features combined with shape features followed by a large linear system for each regression stage in the cascade. The proposed solution is found to produce state-of-the-art results on the task of facial landmark estimation. Thirdly, the dependence of accuracy of the landmark predictions and the placement of the mean shape within the detection box is discussed and a method to visualize it is presented.
(Less)
- author
- Nilsson, Mikael LU
- organization
- publishing date
- 2016-02-17
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the IEEE International Conference on Computer Vision
- article number
- 7410537
- pages
- 8 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 15th IEEE International Conference on Computer Vision, ICCV 2015
- conference location
- Santiago, Chile
- conference dates
- 2015-12-11 - 2015-12-18
- external identifiers
-
- wos:000380414100172
- scopus:84973894698
- ISBN
- 9781467383912
- DOI
- 10.1109/ICCV.2015.180
- language
- English
- LU publication?
- yes
- id
- 64c2320f-d708-46f1-83ae-81957727711d
- date added to LUP
- 2016-06-23 12:30:26
- date last changed
- 2024-10-04 21:59:26
@inproceedings{64c2320f-d708-46f1-83ae-81957727711d,
abstract = {{<p>The purpose of this paper is threefold. Firstly, the paper introduces the One Triangle Three Parallelograms (OTTP) sampling strategy, which can be viewed as a way to index pixels from a given shape and image. Secondly, a framework for cascaded shape regression, including the OTTP sampling, is presented. In short, this framework involves binary pixel tests for appearance features combined with shape features followed by a large linear system for each regression stage in the cascade. The proposed solution is found to produce state-of-the-art results on the task of facial landmark estimation. Thirdly, the dependence of accuracy of the landmark predictions and the placement of the mean shape within the detection box is discussed and a method to visualize it is presented.</p>}},
author = {{Nilsson, Mikael}},
booktitle = {{Proceedings of the IEEE International Conference on Computer Vision}},
isbn = {{9781467383912}},
language = {{eng}},
month = {{02}},
pages = {{1538--1545}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{The one triangle three parallelograms sampling strategy and its application in shape regression}},
url = {{http://dx.doi.org/10.1109/ICCV.2015.180}},
doi = {{10.1109/ICCV.2015.180}},
year = {{2016}},
}