Orthographic Stereo Correlator on the Terrain Model for Apollo Metric Images
| Autor: | Zachary Moratto, Kyle Husmann, Ara V. Nefian, Taemin Kim |
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| Rok vydání: | 2011 |
| Předmět: |
Computer science
business.industry 3D reconstruction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ComputerApplications_COMPUTERSINOTHERSYSTEMS Terrain Raised-relief map Bundle adjustment Image processing Stereopsis Computer graphics (images) Computer vision Artificial intelligence business Digital elevation model Stereo camera |
| Zdroj: | Advances in Visual Computing ISBN: 9783642240270 ISVC (1) |
| Popis: | A stereo correlation method on the object domain is proposed to generate the accurate and dense Digital Elevation Models (DEMs) from lunar orbital imagery. The NASA Ames Intelligent Robotics Group (IRG) aims to produce high-quality terrain reconstructions of the Moon from Apollo Metric Camera (AMC) data. In particular, IRG makes use of a stereo vision process, the Ames Stereo Pipeline (ASP), to automatically generate DEMs from consecutive AMC image pairs. Given camera parameters of an image pair from bundle adjustment in ASP, a correlation window is defined on the terrain with the predefined surface normal of a post rather than image domain. The squared error of back-projected images on the local terrain is minimized with respect to the post elevation. This single dimensional optimization is solved efficiently and improves the accuracy of the elevation estimate. |
| Databáze: | OpenAIRE |
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