Landmark-based homologous multi-point warping approach to 3D facial recognition using multiple datasets.

ABSTRACT: Over the years, neuroscientists and psychophysicists have been asking whether data acquisition for facial analysis should be performed holistically or with local feature analysis. This has led to various advanced methods of face recognition being proposed, and especially techniques using facial landmarks. The current facial landmark methods in 3D involve a mathematically complex and time-consuming workflow involving semi-landmark sliding tasks. This paper proposes a homologous multi-point warping for 3D facial landmarking, which is verified experimentally on each of the target objects in a given dataset using 500 landmarks (16 anatomical fixed points and 484 sliding semi-landmarks). This is achieved by building a template mesh as a reference object and applying this template to each of the

SUBMITTER: Agbolade O 

PROVIDER: S-EPMC7924716 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature