A Research on Fast Face Feature Points Detection on Smart Mobile Devices

المؤلفون المشاركون

Zhang, Xingming
Li, Xiaohe
Wang, Haoxiang

المصدر

Wireless Communications and Mobile Computing

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-02-25

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

We explore how to leverage the performance of face feature points detection on mobile terminals from 3 aspects.

First, we optimize the models used in SDM algorithms via PCA and Spectrum Clustering.

Second, we propose an evaluation criterion using Linear Discriminative Analysis to choose the best local feature descriptions which plays a critical role in feature points detection.

Third, we take advantage of multicore architecture of mobile terminal and parallelize the optimized SDM algorithm to improve the efficiency further.

The experiment observations show that our final accomplished GPC-SDM (improved Supervised Descent Method using spectrum clustering, PCA, and GPU acceleration) suppresses the memory usage, which is beneficial and efficient to meet the real-time requirements.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Li, Xiaohe& Zhang, Xingming& Wang, Haoxiang. 2018. A Research on Fast Face Feature Points Detection on Smart Mobile Devices. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1216427

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Li, Xiaohe…[et al.]. A Research on Fast Face Feature Points Detection on Smart Mobile Devices. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1216427

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Li, Xiaohe& Zhang, Xingming& Wang, Haoxiang. A Research on Fast Face Feature Points Detection on Smart Mobile Devices. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1216427

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1216427