Simultaneous Iris and Periocular Region Detection Using Coarse Annotations

31 Jul 2019 • Diego R. Lucio • Rayson Laroca • Luiz A. Zanlorensi • Gladston Moreira • David Menotti

In this work, we propose to detect the iris and periocular regions simultaneously using coarse annotations and two well-known object detectors: YOLOv2 and Faster R-CNN. We believe coarse annotations can be used in recognition systems based on the iris and periocular regions, given the much smaller engineering effort required to manually annotate the training images... (read more)

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METHOD	TYPE
Average Pooling	Pooling Operations
Global Average Pooling	Pooling Operations
1x1 Convolution	Convolutions
Batch Normalization	Normalization
Max Pooling	Pooling Operations
Darknet-19	Convolutional Neural Networks
YOLOv2	Object Detection Models
RPN	Region Proposal
Softmax	Output Functions
Convolution	Convolutions
RoIPool	RoI Feature Extractors
Faster R-CNN	Object Detection Models

METHOD

TYPE

Average Pooling