Assessing the utility of synthetic images for computer vision tasks
In computer vision, machine learning requires huge amount of training data in order to achieve a better accuracy in object recognition. However, collecting real images that covers all kinds of intra-category variations is both tedious and time-consuming. Hence, 3D CAD models is used to overcome the...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2016
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/67487 |