Accurate and robust face recognition from RGB-D images with a deep learning approach

@inproceedings{Lee2016AccurateAR,
  title={Accurate and robust face recognition from RGB-D images with a deep learning approach},
  author={Yuan-Cheng Lee and Jiancong Chen and Ching Wei Tseng and Shang-Hong Lai},
  booktitle={BMVC},
  year={2016}
}
Face recognition from RGB-D images utilizes 2 complementary types of image data, i.e. colour and depth images, to achieve more accurate recognition. In this paper, we propose a face recognition system based on deep learning, which can be used to verify and identify a subject from the colour and depth face images captured with a consumer-level RGB-D camera. To recognize faces with colour and depth information, our system contains 3 parts: depth image recovery, deep learning for feature… CONTINUE READING

Citations

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LIGHT FIELD BASED FACE RECOGNITION VIA A FUSED DEEP REPRESENTATION

  • 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)
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RGB-D Face Recognition via Deep Complementary and Common Feature Learning

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Robust RGB-D Face Recognition Using Attribute-Aware Loss

  • IEEE transactions on pattern analysis and machine intelligence
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