Month: June 2020

Hacking Wong: Videogame

A rogue-like video game for our final project of COMP3329.
Hacking Wong follows the story of an outlandish twist to a mundane part of student life – submitting assignments. The character is late to submit his assignment and must reach the CS lab before the deadline, however, that is easier said than done since the lab is locked and he now finds himself being attacked by exploding frogs, shock boars and fire breathing dragons. Roam around the HKU campus in search of the TA who holds the key and defeat all enemies in this action-packed adventure.

Early Diagnosis of Scoliosis in Children from RGB-D Images Using Deep Learning

Scoliosis is typically diagnosed from X-ray images, but diagnostic X-rays increase the risk of developmental problems and cancer in those exposed. This project aims to eliminate children’s X-ray exposure in the early diagnosis of scoliosis by generating X-ray images of children’s backs from the corresponding harmless RGB-D images. In this project, a deep learning model based on HRNet was built and trained to detect landmark locations of the backs on the RGB-D images first. With the detected landmarks, the X-ray images of the children’s backs were eventually synthesized from the corresponding RGB-D images by another deep learning model that was built and trained based on the pix2pix model.

Automatic Chair Stacking System

Automation is the technology about combination of hardware and software to complete designated tasks with minimal manual intervention. Automation was first applied to automobile industry in the 1970s and started to extend its use in daily life since then. Automatic system has its advantages over traditional manpower in doing repetitive tasks, e.g., it maintains a high-quality standard and safety standard.

This project, the Automatic Chair Stacking System, will be cooperating with the Automatic Chair Parking System to showcase the idea of automatic conference room, i.e., to automatically set up chairs in the area.