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@@ -13,7 +13,7 @@ The SHREC 2021 Track on Quantifying Shape Complexity aimed to provide a benchmar
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  - In the first collection, we consider synthetically acquired noisy cubes and spheres.
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  - The second collection consists of abstract shapes and is made up of two subcollections each composed of 25 shapes.
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  - The third part consists of the categorized shapes of the Princeton Segmentation Benchmark (Chen et al., "A Benchmark for 3D Mesh Segmentation", TOG, 28.3, 2009).
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- Collection 3 can be accessed at [here](https://segeval.cs.princeton.edu)
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  Each of these collections can be considered as seeking a different aspect of shape complexity.
 
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  - In the first collection, we consider synthetically acquired noisy cubes and spheres.
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  - The second collection consists of abstract shapes and is made up of two subcollections each composed of 25 shapes.
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  - The third part consists of the categorized shapes of the Princeton Segmentation Benchmark (Chen et al., "A Benchmark for 3D Mesh Segmentation", TOG, 28.3, 2009).
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+ Collection 3 can be accessed at [here](https://segeval.cs.princeton.edu).
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  Each of these collections can be considered as seeking a different aspect of shape complexity.