Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
×
Past year
  • Any time
  • Past hour
  • Past 24 hours
  • Past week
  • Past month
  • Past year
All results
May 8, 2024 · Li et al. [15] proposed a CNN-SVM hybrid technique to recognize human faces. The CNN is used for feature extraction, while the Support Vector Machine ...
Mar 15, 2024 · Accurate face detection and recognition has long been a problem in computer vision. According to a recent study, Local Binary Pattern (LBP) is a superior facial ...
Missing: ensemble | Show results with:ensemble
Jul 12, 2023 · The first approach is based on Local-Binary Patterns Histograms and the second one utilizes CNNs and deep learning. Another important face recognition subject ...
7 days ago · This study expands the use of deep learning for facial emotion recognition (FER) based on Emognition dataset that includes ten target emotions: amusement, awe, ...
Nov 11, 2023 · A facial expression recognition method was proposed based on convolutional neural network ensemble learning (Jia et al. 2020). The method takes use of three sub ...
4 days ago · Biometric face presentation attack detection with multi-channel convolutional neural network. ... Face anti-spoofing via deep local binary pattern. In Deep ...
Jan 13, 2024 · J. Tang et al. Parallel ensemble learning of convolutional neural networks and local binary patterns for face recognition. Computer Methods ...
May 9, 2024 · Masked face recognition with convolutional neural networks and local binary patterns. Applied. Intelligence, 52(5):5497–5512, 2022. [41] Naeem Ullah, Ali ...
Dec 19, 2023 · In this study, we present a novel method for facial feature extraction, characterization, and identification based on classical computer vision coupled with ...
Oct 13, 2023 · It consists of multiple parallel convolutional layers with different filter sizes, allowing for the extraction of both local and global image features. (d).