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Pupil Center Detection Based on the UNet for the User Interaction in VR and AR Environments
- Source :
- VR
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- Finding the location of a pupil center is important for the human-computer interaction especially for the user interface in AR/VR devices. In this paper, we propose an indirect use of the convolutional neural network (CNN) for the task, which first segments the pupil region by a CNN, and then finds the center of mass of the region. For this, we create a dataset by labeling the pupil area on 111,581 images from 29 IR video sequences. We also label the pupil region of widely used datasets to test and validate our method on a variety of inputs. Experiments show that the proposed method provides better accuracies than the conventional ones, showing robustness to the noise.
- Subjects :
- 0303 health sciences
Artificial neural network
business.industry
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Convolutional neural network
Object detection
Pupil
03 medical and health sciences
0302 clinical medicine
Robustness (computer science)
Segmentation
Computer vision
030212 general & internal medicine
Artificial intelligence
User interface
business
030304 developmental biology
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
- Accession number :
- edsair.doi...........7b88d4c8e2c1a0902b74f4ab60ad8405