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Titel |
Robust Detection of Round Shaped Pits Lying on 3D Meshes: Application to Impact Crater Recognition |
VerfasserIn |
Martin-Pierre Schmidt, Jennifer Muscato, Sophie Viseur, Laurent Jorda, Sylvain Bouley, Jean-Luc Mari |
Konferenz |
EGU General Assembly 2015
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 17 (2015) |
Datensatznummer |
250107906
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Publikation (Nr.) |
EGU/EGU2015-7628.pdf |
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Zusammenfassung |
Most celestial bodies display impacts of collisions with asteroids and meteoroids. These
traces are called craters. The possibility of observing and identifying these craters and their
characteristics (radius, depth and morphology) is the only method available to measure the
age of different units at the surface of the body, which in turn allows to constrain its
conditions of formation.
Interplanetary space probes always carry at least one imaging instrument on board. The
visible images of the target are used to reconstruct high-resolution 3D models of its surface as
a cloud of points in the case of multi-image dense stereo, or as a triangular mesh in the case
of stereo and shape-from-shading.
The goal of this work is to develop a methodology to automatically detect the craters
lying on these 3D models. The robust extraction of feature areas on surface objects embedded
in 3D, like circular pits, is a challenging problem. Classical approaches generally rely on
image processing and template matching on a 2D flat projection of the 3D object (i.e.: a
high-resolution photograph). In this work, we propose a full-3D method that mainly relies on
curvature analysis. Mean and Gaussian curvatures are estimated on the surface. They
are used to label vertices that belong to concave parts corresponding to specific
pits on the surface. The surface is thus transformed into binary map distinguishing
potential crater features to other types of features. Centers are located in the targeted
surface regions, corresponding to potential crater features. Concentric rings are then
built around the found centers. They consist in circular closed lines exclusively
composed of edges of the initial mesh. The first built ring represents the nearest vertex
neighborhood of the found center. The ring is then optimally expanded using a
circularity constrain and the curvature values of the ring vertices. This method
has been tested on a 3D model of the asteroid Lutetia observed by the ROSETTA
(ESA) space probe. The so-obtained results have been compared with a manual
detection provided by a planetary scientist expert in the visual identification of craters. |
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