Deep Belief Neural Networks for Eye Localization Based Speeded up Robust Features and Local Binary Pattern-Reference-Cited by-同舟云学术

Deep Belief Neural Networks for Eye Localization Based Speeded up Robust Features and Local Binary Pattern

Published:2022 Issue: Volume: Page:415-430
ISSN:2731-040X
Container-title:Lecture Notes in Operations Research
language:
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Author:

Shams Mahmoud Y.,Hassanien Aboul Ella,Tang Mincong

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8656-6_38

Reference29 articles.

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2. Hessels, R.S., Holleman, G.A., Kingstone, A., Hooge, I.T., Kemner, C.: Gaze allocation in face-to-face communication is affected primarily by task structure and social context, not stimulus-driven factors. Cognition 184, 28–43 (2019)

3. Shams, M.Y., Tolba, A.S., Sarhan, S.H.: Face, iris, and fingerprint multimodal identification system based on local binary pattern with variance histogram and combined learning vector quantization. J. Theor. Appl. Inf. Technol. 89(1), 53 (2016)

4. Shams, M.Y., Tolba, A.S., Sarhan, S.H.: A vision system for multi-view face recognition. ArXiv Prepr. ArXiv170600510 (2017)

5. Huang, B., Chen, R., Zhou, Q., Xu, W.: Eye landmarks detection via weakly supervised learning. Pattern Recognit. 98, 107076 (2020)

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