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Visual vibration analysis

This dissertation shows how regular cameras can be
used to record and analyze the vibrations of visible objects.
Through careful temporal analysis, we relate subtle changes in
video to the vibrations of recorded surfaces, and use that
information to reason about the physical properties of objects and
the forces that drive their motion. We explore several applications
of our approach to extracting vibrations from video - using it to
recover sound from distant surfaces, estimate the physical
properties of visible objects, and even predict how objects will
respond to new, previously unseen forces. Our work impacts a
variety of fields, ranging from computer vision, to long-distance
structural health monitoring and nondestructive testing,
surveillance, and even visual effects for film. By imaging the
vibrations of objects, we offer cameras as low-cost vibration
sensors with dramatically higher spatial resolution than the
devices traditionally used in engineering. In doing so, we turn
every camera into a powerful tool for vibration analysis, and
provide an exciting new way to image the world.