A video sequence face expression recognition method based on squeeze-and-excitation and 3dpca network

HIGHLIGHTS

• who: Chang Li and colleagues from the School of Automation, Guangdong University of Petrochemical Technology, Maoming, China have published the Article: A Video Sequence Face Expression Recognition Method Based on Squeeze-and-Excitation and 3DPCA Network, in the Journal: Sensors 2023, 823 of /2023/
• what: The authors propose a video sequence face expression recognition method based 8 of 18 The expressions in each video sequence change from neutral to peak expressions, so 16 frames can be intercepted at appropriate intervals as the expression sequences for this experiment, and the sequences with less than 16 frames . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.