Dual-transfer Face Sketch-Photo Synthesis


Law enforcement and criminal investigations, among others, rely heavily on the ability to identify a sketched face from a face image dataset. There is no need for artists to hand draw sketches in an intelligent system that relies on photo-based face sketch generation. Conventional face sketch-photo synthesis procedures, on the other hand, tend to produce sketches that are consistent with the artist's drawing style. Because identity-specific information is frequently overlooked, identity verification and recognition fail to meet expectations. Conventional methods fail to recover identity-specific information, and this research explains why. Then, we present a new dual-transfer face sketch-photo synthesis framework that includes both an inter-domain transfer mechanism and an intra-domain transfer procedure. Transferring a regressor from the test image into the sketch image ensures that common face structures are recovered during synthesis thanks to the inter-domain transfer. Learning and transfer of a mapping between images and sketches across identities prevents identity-specific information from being lost during synthesis in intra-domain transfer. By employing an ad hoc information splitting method, the two procedures can easily be combined. The suggested framework is implemented using both linear and nonlinear formulations. A study using the face sketch database from the Chinese University of Hong Kong shows that the suggested framework produces more identifiable facial structures and achieves better face identification in both the photo and sketch domains compared to the present state of the art.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Cascaded Face Sketch Synthesis Under Various Illuminations ABSTRACT: Digital entertainment relies heavily on face sketch synthesis from a photo. A system for intelligent face sketch synthesis must be extremely
PROJECT TITLE : A Robust Group-Sparse Representation Variational Method With Applications to Face Recognition ABSTRACT: For face recognition applications, we offer a Group-Sparse Representation-based technique (GSR-FR). A non-convex
PROJECT TITLE : Anchor Cascade for Efficient Face Detection ABSTRACT: To perform facial analysis tasks like facial reenactment and face identification, face detection is needed. These two face detectors have gained a lot of attention
PROJECT TITLE : Face Frontalization Using an Appearance-Flow-Based Convolutional Neural Network ABSTRACT: Face recognition (FR) is a difficult problem because of the wide range of facial expressions. Non-frontal faces can be transformed
PROJECT TITLE : Graph-Regularized Locality-Constrained Joint Dictionary and Residual Learning for Face Sketch Synthesis ABSTRACT: For digital entertainment and police enforcement, face sketch synthesis is a critical issue It's

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry