Name
Abstract | ||
|---|---|---|
Facial Key Points (FKPs) Detection is an important and challenging problem in the fields of computer vision and machine learning. It involves predicting the co-ordinates of the FKPs, e.g. nose tip, center of eyes, etc, for a given face. In this paper, we propose a LeNet adapted Deep CNN model - NaimishNet, to operate on facial key points data and compare our modelu0027s performance against existing state of the art approaches. |
Year | Venue | Field |
|---|---|---|
2017 | arXiv: Computer Vision and Pattern Recognition | Pattern recognition,Convolutional neural network,Computer science,Artificial intelligence,Machine learning |
DocType | Volume | Citations |
Journal | abs/1710.00977 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naimish Agarwal | 1 | 0 | 0.68 |
| Artus Krohn-Grimberghe | 2 | 76 | 9.97 |
| Ranjana Vyas | 3 | 12 | 2.25 |