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The one triangle three parallelograms sampling strategy and its application in shape regression

Nilsson, Mikael LU (2016) 15th IEEE International Conference on Computer Vision, ICCV 2015 In Proceedings of the IEEE International Conference on Computer Vision 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.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Proceedings of the IEEE International Conference on Computer Vision
pages
8 pages
publisher
Institute of Electrical and Electronics Engineers Inc.
conference name
15th IEEE International Conference on Computer Vision, ICCV 2015
external identifiers
  • 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
2016-10-04 15:18:58
@misc{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},
  isbn         = {9781467383912},
  language     = {eng},
  month        = {02},
  pages        = {1538--1545},
  publisher    = {ARRAY(0xb0aee20)},
  series       = {Proceedings of the IEEE International Conference on Computer Vision},
  title        = {The one triangle three parallelograms sampling strategy and its application in shape regression},
  url          = {http://dx.doi.org/10.1109/ICCV.2015.180},
  year         = {2016},
}