The School of Computer Science is pleased to present…
Thesis Proposal Announcement
An IoT-Based Approach of Simulation with Reduced Reality-Gap
MSc Thesis Proposal by: Kavan Mehulkumar Dave
Date: Monday, February 12th, 2024
Time: 10:30 am – 12:30 pm
Location: Chrysler Hall North Room 125
Computer simulation is a powerful technique to create synthetic images for the testing of computer vision algorithms. However, the discrepancies caused by inconsistencies between the simulated environment and the physical world have made the results of algorithms testing with synthetic datasets hardly reliable in real-world applications, which is a phenomenon called the “reality gap”. Among various factors that impact on photorealism of computer-synthesized outdoor environments, researchers have analyzed the most influential and identified them as geometry, appearance, lighting, physics, environment, camera, and rendering parameters.
The proposed thesis research develops a novel system for the generation of synthetic datasets with a reduced reality gap. In the system, a scene environment is first constructed with the geometry of objects according to real-world data. Information retrieved for the time of a day from the Internet of Things (IoT) is then used by a simulator engine to render images with the actual appearance of objects, physics of shadows and reflections, and rendering parameters, such as camera, lighting, and environmental conditions. Similarity scores between the synthesized and real-world images are finally calculated to evaluate the effectiveness of the proposed system in reducing the reality gap.
Simulation, Computer Vision, Reality Gap, Synthetic Data
Internal Reader: Dr. Imran Ahmad
External Reader: Dr. Mohammed Khalid
Advisor: Dr. Xiaobu Yuan