Student research opportunities
Computational Understanding of Paintings
Project Code: CECS_839
This project is available at the following levels:
Honours, Summer Scholar, Masters, PhD
Keywords:
computer vision, image analysis, visual attention, HCI
Supervisors:
Assoc Professor Henry GardnerDr Lexing Xie
Outline:
This project is a collaboration between computer scientists and artists. The aims include building automated algorithms and systems to analyse and interact with painting images in artistically meaningful ways. There are multiple sub-topic available, such as: image analysis for paintings, mathematical models of the different elements in visual art, machine learning with high-dimensional large data, and novel human-computer perception and interaction paradigms.
Goals of this project
For more detail, please *write to Lexing Xie* with a brief statement of your experiences and interests.
Requirements/Prerequisites
* Strong enthusiasm and curiosity in computer vision and machine learning
* OR strong interest in HCI and interactive systems.
Student Gain
* Knowledge about image processing, computer vision
* Knowledge about high-dimensional data analysis and machine learning
* OR experiences in HCI research.
