CVDec 13, 2013
Analysis and Understanding of Various Models for Efficient Representation and Accurate Recognition of Human Faces
arXiv:1312.3787v2
Originality Synthesis-oriented
AI Analysis
This work addresses face recognition challenges for computer vision applications, but it appears incremental as it builds on existing models.
The paper compares existing face recognition models to assess their ability to address classical problems, finding that all have drawbacks under certain conditions, and proposes a multi-model approach to overcome these issues.
In this paper we have tried to compare the various face recognition models against their classical problems. We look at the methods followed by these approaches and evaluate to what extent they are able to solve the problems. All methods proposed have some drawbacks under certain conditions. To overcome these drawbacks we propose a multi-model approach