Thesis
SORGATE: Surface of Revolution Geometry And Texture Extraction
Washington State University
Master of Science (MS), Washington State University
05/2021
DOI:
https://doi.org/10.7273/000004286
Handle:
https://hdl.handle.net/2376/124739
Abstract
Extracting information about the shape and position of objects in an image using only the image data itself is a difficult problem due to the enormous loss of information that occurs when all the complex elements of the three-dimensional scene are captured for an instant onto a two-dimensional canvas. The size of the problem space can be greatly reduced by limiting the focus to only objects that exhibit certain properties. A symmetry found in many objects, both machined and hand-made, is rotational symmetry about an axis; objects having this type of symmetry are known as surfaces of revolution (SORs). The focus of this thesis is developing a user-friendly application that acts as a tool for a new approach for modeling and extracting the texture from an SOR as seen in one or more images. The application, called SORGATE (Surface of Revolution Geometry And Texture Extraction), houses all the functionality to perform the steps required for this process. SORGATE uses the geometries and textures extracted from individual images of the same SOR to produce a single, composite texture, which can be combined with the blended geometries from each image, to produce a reconstructed model of the SOR. No prior knowledge other than the object’s axially symmetric properties is required, as SORGATE uses only the bounding contour of the SOR in the image to calibrate the camera through viewing transforms and multivariate optimization. We envision SORGATE being helpful where modeling of SORs is needed yet being able to measure the physical objects is unfeasible. The fact that SORGATE does not require images taken with carefully calibrated cameras means it is also inexpensive and practical. A possible use case would be for curators who wish to display and, perhaps, analyze the art on historical pottery/vases; metric reconstruction and proper texturing of the objects would allow this without requiring viewing in person.
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Details
- Title
- SORGATE
- Creators
- Antonio Gabriel Young Ledesma
- Contributors
- ROBERT R LEWIS (Advisor) - Washington State University, Engineering and Applied Sciences (TRIC), School of
- Awarding Institution
- Washington State University
- Academic Unit
- Engineering and Applied Sciences (TRIC), School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University
- Identifiers
- 99900896412101842
- Language
- English
- Resource Type
- Thesis