Localizing a camera from a single image in a previously visited area enables applications in many fields, such as robotics, autonomous driving, and augmented/virtual reality.
With the recent advancements in computational resources and the rapid emergence of accompanying open-source machine learning frameworks, deep learning has swiftly gained traction within both research communities and industries. As a result, recent works opted for data-driven solutions for the problems at hand. In this dissertation, we propose solutions to utilize deep learning to improve camera re-localization from a single image. After the introductory chapter, we define and address the limitations of current approaches and provide data-driven solutions in the following chapters.
Quan: October 11, 2024 10 am.
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