Riess C (2022)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2022
Publisher: Springer Science and Business Media Deutschland GmbH
Series: Advances in Computer Vision and Pattern Recognition
Pages Range: 207-234
DOI: 10.1007/978-981-16-7621-5_9
Physics-based methods anchor the forensic analysis in physical laws of image and video formation. The analysis is typically based on simplifying assumptions to make the forensic analysis tractable. In scenes that satisfy such assumptions, different types of forensic analysis can be performed. The two most widely used applications are the detection of content repurposing and content splicing. Physics-based methods expose such cases with assumptions about the interaction of light and objects, and about the geometric mapping of light and objects onto the image sensor.
APA:
Riess, C. (2022). Physical Integrity. In (pp. 207-234). Springer Science and Business Media Deutschland GmbH.
MLA:
Riess, Christian. "Physical Integrity." Springer Science and Business Media Deutschland GmbH, 2022. 207-234.
BibTeX: Download