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research:shape_analysis [2016/03/07 10:09] schmifra |
research:shape_analysis [2020/10/06 10:08] Christiane Sommer |
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====== Shape Analysis ====== | ====== Shape Analysis ====== | ||
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Over the last years, the availability of devices for the acquisition of three-dimensional data like laser-scanners, | Over the last years, the availability of devices for the acquisition of three-dimensional data like laser-scanners, | ||
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Our research is focused on reliable and efficient methods for the automatic interpretation of non-rigid three-dimensional shapes. In particular, we have been working on novel approaches to **Shape Matching** and on the design of **Feature Descriptors**. | Our research is focused on reliable and efficient methods for the automatic interpretation of non-rigid three-dimensional shapes. In particular, we have been working on novel approaches to **Shape Matching** and on the design of **Feature Descriptors**. | ||
- | + | == Matching == | |
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- | ===== Matching ===== | + | |
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The goal of shape matching is to register corresponding surface regions of two given three-dimensional shapes. This means for example to identify the hands, the feet and the head of two human figures. Once two shapes are registered, one can infer morphs between them. The **video** shows examples of such morphs, e.g. interpolating | The goal of shape matching is to register corresponding surface regions of two given three-dimensional shapes. This means for example to identify the hands, the feet and the head of two human figures. Once two shapes are registered, one can infer morphs between them. The **video** shows examples of such morphs, e.g. interpolating | ||
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- | + | == Feature Descriptors == | |
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- | ===== Feature Descriptors | + | |
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In our research we aim at feature descriptors which are robust to shape articulations while capturing as much information as possible. A very powerful mathematical tool for this task is the eigendecomposition of the Laplace--Beltrami operator. | In our research we aim at feature descriptors which are robust to shape articulations while capturing as much information as possible. A very powerful mathematical tool for this task is the eigendecomposition of the Laplace--Beltrami operator. | ||
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- | ====== Related publications | + | ==== Related publications ==== |
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- | <topic>Shape Analysis</topic> | + | <keywords>shape</keywords> |
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