Automatic keypoint detecting of wireframe gates

Automatic keypoint detecting of wireframe gates

Sun, Wei (TU Delft Electrical Engineering, Mathematics and Computer Science)

van Gemert, J.C. (mentor)

Delft University of Technology

Electrical Engineering | Embedded Systems

2019-07-11

This work applies keypoint detection method to solve gate recognition problem. Unlike regular object detection task, gate recognition problem is made difficult by the fact that gate is empty wireframe which means that the object surrounded by gate-edge is not relevant and should not be taken into consideration when detecting. However, regular object detection algorithms will process on whole pixels of specific region and give the results as bounding box with object class. The architecture used in this project consists of two branches which are corner detector and edge detector respectively. Detected corners and edges are highlighted in heatmaps. We first verify the correctness of our model in the toy dataset and upgrade the model to work on more complex dataset. The experimental evidence shows the performance and functionality of our network intuitively.

Deep Learning
Computer Vision
Neural Networks

http://resolver.tudelft.nl/uuid:a6d28e5b-89e6-40f3-8ef0-ab0586b6264f

Student theses

master thesis

© 2019 Wei Sun