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Proposer
Claudio Zito
Title
3D Reconstruction of Environments Using Structure from Motion (SfM) Techniques
Goal
3D reconstruction of target environments or objects from 2D images or a video
Description
This project involves the application of Structure from Motion (SfM) algorithms to generate 3D models of real-world environments from a set of 2D images taken from different angles. Students will explore the entire workflow of SfM, including image capture, feature extraction, matching, camera pose estimation, and dense reconstruction.
Resources
Background
Url
Difficulty Level
Moderate
Ethical Approval
None
Number Of Students
0
Supervisor
Claudio Zito
Keywords
machine learning, ai, structure-from-motion, research, computer vision, robotics
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Robotics
Bachelor of Science in Computing Science
Bachelor of Science in Statistical Data Science
BSc Data Sciences
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