Abstract

With the creation of BU-3DFE database the research on 3D facial expression recognition has been fostered; however, it is limited by the development of 3D algorithms. Range image is the strategy for solving the problems of 3D recognition based on 2D algorithms. Recently, there are some methods to capture range images, but they are always combined with the preprocess, registration, etc. stages, so it is hard to tell which of these generated range images is of higher quality. This paper introduces two kinds of range images and selects different kinds of features based on different levels of expressions to validate the performances of proposed range images; two other kinds of range images based on previously used nose tip detection methods are applied to compare the quality of generated range images; and finally some recently published works on 3D facial expression recognition are listed for comparison. With the experimental results, we can see that the performances of two proposed range images with different kinds of features are all higher than 88

Keywords

MSC

65-D18

Cite this article

@article{cai-1207,
  author  = {Xiaoli Li and Qiuqi Ruan and Gaoyun An and Yi Jin},
  title   = {Analysis of Range Images Used in 3D Facial Expression Recognition Systems},
  journal = {Computing and Informatics},
  volume  = {35},
  number  = {1},
  pages   = {203--221},
  year    = {2016},
  issn    = {1335-9150},
  url     = {https://cai.type.sk/content/2016/1/analysis-of-range-images-used-in-3d-facial-expression-recognition-systems/}
}
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