.. _sphx_glr_auto_examples_multiscaling:
.. _multiscale_examples:
Working at multiple scales
---------------------------
Representing data efficiently at different scales is a core feature of scikit-shapes. In addition to data compression, we provide tools to preserve features across scales and implement multi-grid or level-of-detail methods.
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.. image:: /auto_examples/multiscaling/images/thumb/sphx_glr_plot_multiscaling_landmarks_thumb.gif
:alt:
:ref:`sphx_glr_auto_examples_multiscaling_plot_multiscaling_landmarks.py`
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Multiscaling and landmarks
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.. image:: /auto_examples/multiscaling/images/thumb/sphx_glr_plot_multiscaling_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_multiscaling_plot_multiscaling.py`
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Multiscaling with triangle meshes
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.. image:: /auto_examples/multiscaling/images/thumb/sphx_glr_plot_signal_multiscale_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_multiscaling_plot_signal_multiscale.py`
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Multiscaling and signal propagation
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.. toctree::
:hidden:
/auto_examples/multiscaling/plot_multiscaling_landmarks
/auto_examples/multiscaling/plot_multiscaling
/auto_examples/multiscaling/plot_signal_multiscale