Continuously Evolving and Interactive Disguised Face Identification (DFI) with Facial Key Points using ScatterNet Hybrid Deep Learning (SHDL) Network

摘要

Disguised Face Identification (DFI) system and method for identifying multiple individuals with disguised faces in uncontrolled environments/scenarios is provided. The Disguised Face Identification (DFI) system and method includes detecting facial landmarks/facial key-points and performing face identification using the ScatterNet Hybrid Deep Learning (SHDL) Network. The system also can be evolved, after deployment, by the user as it provides one with an ability to add new faces to a known face database which are identified by the system thereafter. Further includes two facial disguise (FG) datasets, the datasets are simple facial disguise (FG) datasets and complex facial disguise (FG) datasets for training the deep convolutional networks.