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Facial landmark localization in depth images using supervised descent method

Access

info:eu-repo/semantics/closedAccess

Date

2015

Author

Camgoz, Necati Cihan
Gökberk, Berk
Akarun, Lale

Metadata

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Citation

Camgoz, N. C., Gokberk, B., Akarun, L., (2015). Facial landmark localization in depth images using Supervised Descent Method. Conference: 23nd Signal Processing and Communications Applications Conference (SIU) Location: Inonu Univ, Malatya, TURKEY. p. 1997-2000.

Abstract

This paper proposes using the state of the art 2D facial landmark localization method, Supervised Descent Method (SDM), for facial landmark localization in 3D depth images. The proposed method was evaluated on frontal faces with no occlusion from the Bosphorus 3D Face Database. In the experiments, in which 2D features were used to train SDM, the proposed approach achieved state-of-the-art performance for several landmarks over the currently available 3D facial landmark localization methods.

Source

Conference: 23nd Signal Processing and Communications Applications Conference (SIU) Location: Inonu Univ, Malatya, TURKEY Date: MAY 16-19, 2015

URI

https://hdl.handle.net/20.500.11779/661

Collections

  • Araştırma Çıktıları, Scopus İndeksli Yayınlar Koleksiyonu [429]
  • Araştırma Çıktıları, WOS İndeksli Yayınlar Koleksiyonu [470]
  • MF, BM, Bildiri ve Sunum Koleksiyonu [37]



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