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This dissertation, "An Integrated Approach to Depth Estimation Using a Monocular Image Sequence" by, Hon-tat, Ho, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. DOI: 10.5353/th_b3121310 Subjects: Motion Image processing Visual perception Mobile robots
This dissertation investigates the challenge of accurately estimating depth from a single camera's video feed. The author, Hon-tat Ho, addresses the limitations of monocular vision in robotics and computer vision by proposing an integrated approach that leverages motion and visual perception principles. The work utilizes image processing techniques to infer three-dimensional spatial information from a sequence of two-dimensional images, aiming to enhance the capabilities of mobile robots in complex environments.
This dissertation is a technical academic work, likely to be of interest to researchers and students in computer vision, robotics, and image processing. Its focus on an integrated approach suggests a comprehensive treatment of the subject matter, aiming to build upon existing knowledge in the field. The work is presented as a dissertation from The University of Hong Kong, indicating a rigorous academic standard and contribution to the field.
Page Count:
0
Publication Date:
2017-01-27
Publisher:
BiblioBazaar
ISBN-10:
1374741884
ISBN-13:
9781374741881
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