5 papers
FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction
Ravi Shankar Prasad, Dinesh Singh
Craniofacial reconstruction in forensics is one of the processes to identify victims of crime and natural disasters. Identifying an individual from their remains plays a crucial ro…
Cranio-Diff: Diffusion-based Cross-domain Craniofacial Reconstruction with 2D X-ray Skull Guidance and Structural Identity Constraints
Ravi Shankar Prasad, Naresh Gurjar, Shashank Baghel +2
The state-of-the-art generative models, such as CycleGAN, Pix2Pix, and diffusion models have demonstrated remarkable performance in the face generation task. However, they fail to…
SPOT-Face: Forensic Face Identification using Attention Guided Optimal Transport
Ravi Shankar Prasad, Dinesh Singh
Person identification in forensic investigations becomes very challenging when common identification means for DNA (i.e., hair strands, soft tissue) are not available. Current meth…
Cranio-ID: Graph-Based Craniofacial Identification via Automatic Landmark Annotation in 2D Multi-View X-rays
Ravi Shankar Prasad, Nandani Sharma, Dinesh Singh
In forensic craniofacial identification and in many biomedical applications, craniometric landmarks are important. Traditional methods for locating landmarks are time-consuming and…
Cross-Domain Identity Representation for Skull to Face Matching with Benchmark DataSet
Ravi Shankar Prasad, Dinesh Singh
Craniofacial reconstruction in forensic science is crucial for the identification of the victims of crimes and disasters. The objective is to map a given skull to its corresponding…