Privacy-preserving face detection based on linear and nonlinear kernels.
Li WangJunjie ShiChen ChenSheng ZhongPublished in: Multim. Tools Appl. (2018)
Keyphrases
- face detection
- privacy preserving
- object detection
- detection rate
- privacy preserving data mining
- detection accuracy
- detection method
- vertically partitioned data
- human faces
- skin color
- adaboost algorithm
- privacy preservation
- data privacy
- multi party
- human face detection
- face recognition
- facial features
- face detector
- eye detection
- face detection and recognition
- kernel methods
- sensitive information
- privacy protection
- horizontally partitioned data
- computer vision
- private information
- kernel function
- privacy preserving association rule mining
- support vector
- face detection and tracking
- detecting faces
- sensitive data
- privacy concerns
- secure multiparty computation
- feature space
- data sets
- feature vectors
- complex background
- scalar product
- linear combination
- face tracking
- real time face detection
- decision trees
- privacy sensitive
- anomaly detection