Heterogeneous face recognition (HFR) refers to matching face imagery across different
domains. It has received much interest from the research community as a result of its …

Matching face images across different modalities is a challenging open problem for various
reasons, notably feature heterogeneity, and particularly in the case of sketch recognition …

The traditional sketch-based facial image retrieval (SBFIR) framework assumes that a high-
quality facial sketch has been prepared prior to the retrieval task. However, drawing such a …

Faces are the most common biometric used for the identification of a person. Law
enforcement agencies use face as a key point to identify the suspect involved in unlawful …

Face sketch to digital image matching is an important challenge of face recognition that
involves matching across different domains. Current research efforts have primarily focused …

In some specific scenarios, a face sketch can be used to identify a person. However,
drawing a face sketch often requires excellent skills and is time-consuming, which seriously …

Caricatures can help to understand the perception of a face. The prominent facial feature of
a subject can be exaggerated, so the subject can be easily identified by humans. Recently …

Image supported examination procedures are widely considered in the variety of fields.
Typically, the image examination involves in the extracting the region of interest or features …

Face recognition from surveillance video in a forensic scenario is a very challenging task.
Much of the existing work focuses on face recognition in a video where the video frames are …

Sketch to Photo matching is an important research challenge. Main application of sketch to
photo matching comes under criminal investigations. One of the important clues in solving …