Papers
2
Total Citations
87
H-Index
2
About
Xinting Gao is a leading researcher in digital image forensics, with a primary focus on detecting recaptured images—a critical area for combating visual misinformation. Her work centers on developing physics-based and perceptual features to distinguish original photographs from images captured off screens or printed surfaces. In her highly cited 2010 paper (65 citations), Gao introduced innovative physics-based features that leverage subtle differences in lighting, color, and texture to identify single-view recaptured images, laying foundational groundwork for forensic analysis. She further advanced the field by creating the Smart Phone Image Database (2011, 22 citations), a benchmark dataset that enables systematic evaluation of recapture detection algorithms using real-world mobile phone captures. This resource has become a standard tool for researchers developing anti-spoofing and image authentication systems. Gao’s contributions are vital for applications in security, journalism, and social media integrity, where verifying image authenticity is paramount. Her work demonstrates how computational forensics can mimic human perceptual abilities to detect manipulated media, earning her recognition as a pioneer in recapture detection and digital image forensics.
Research Focus
Key Achievements
Top Papers
- 1Single-view recaptured image detection based on physics-based features65 citations · 2010
- 2A Smart Phone Image Database for Single Image Recapture Detection22 citations · 2011