FISH detects face splicing by lighting environments comparison. FISH model light implicitly by using histograms instead of spherical harmonics. Ad-hoc metrics are designed for FISH comparison, invariant to skin color differences.
FISH detects face splicing by lighting environments comparison. · FISH model light implicitly by using histograms instead of spherical harmonics. · Ad-hoc metrics ...
Since the FISH model preserves better shading details than the spherical harmon- ics model, FISH fits better real data, which also implies an implicit.
FISH: Face Intensity-Shape Histogram Representation for Automatic Face Splicing Detection. Marco Fanfania,∗, Fabio Bellaviaa, Massimo Iuliania,b,. Alessandro ...
An automatic face splicing detector based on a comparison of the illumination parameters of faces in a single image is developed and tested and showed that ...
FISH detects face splicing by lighting environments comparison. FISH model light implicitly by using histograms instead of spherical harmonics.
In this paper, we present a novel method for automatic face splicing detection, based on computer vision, that exploits inconsistencies in the lighting ...
For this purpose, histograms that represent the interaction of faces with light are built for each face in the image. In this paper we developed an algorithm ...
FISH: Face intensity-shape histogram representation for automatic face splicing detection. M Fanfani, F Bellavia, M Iuliani, A Piva, C Colombo. Journal of ...