.. _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. .. raw:: html
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.. only:: html .. image:: /auto_examples/multiscaling/images/thumb/sphx_glr_plot_multiscaling_landmarks_thumb.gif :alt: :ref:`sphx_glr_auto_examples_multiscaling_plot_multiscaling_landmarks.py` .. raw:: html
Multiscaling and landmarks
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.. only:: html .. image:: /auto_examples/multiscaling/images/thumb/sphx_glr_plot_multiscaling_thumb.png :alt: :ref:`sphx_glr_auto_examples_multiscaling_plot_multiscaling.py` .. raw:: html
Multiscaling with triangle meshes
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.. only:: html .. image:: /auto_examples/multiscaling/images/thumb/sphx_glr_plot_signal_multiscale_thumb.png :alt: :ref:`sphx_glr_auto_examples_multiscaling_plot_signal_multiscale.py` .. raw:: html
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