Cross-Domain Identity Representation for Skull to Face Matching with Benchmark DataSet
The research developed a framework using Siamese networks and cross-domain identity representation to match skulls to faces for forensic science. It created a benchmark dataset, IITMandi_S2F, combining X-ray and optical images. The method uses triplet loss to train models that learn features invariant across different image types, improving victim identification accuracy.