| 06-07-2022 |
Automatic 3D image integration in a portable device using deep learning
To prevent melanoma in patients with many lesions under surveillance, one challenge is the integration of dermatological images for effective lesion monitoring. We are developing a portable device based on NVidia microcomputer with stereo cameras to achieve the automatic integration of 3D images of the skin of patients. In this project we will implement machine learning techniques to merge and record images on dedicated embedded hardware. Tasks in this project will include operating hardware including microcomputers and cameras, developing and implementing computer vision and image processing algorithms. Experience in programming, computer vision, and machine learning is welcome but not necessary.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/3 available vacants |
Mentor(s): Open in the plataform |