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

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Author

Summary, in English

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.

Department/s

Publishing year

2016-02-17

Language

English

Pages

1538-1545

Publication/Series

Proceedings of the IEEE International Conference on Computer Vision

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Computer Vision and Robotics (Autonomous Systems)

Conference name

15th IEEE International Conference on Computer Vision, ICCV 2015

Conference date

2015-12-11 - 2015-12-18

Conference place

Santiago, Chile

Status

Published

Research group

  • Mathematical Imaging Group

ISBN/ISSN/Other

  • ISBN: 9781467383912