Visual Vibrometry: Estimating MaterialProperties from Small Motions in Video

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 39, NO. 4 2017 Abe DavisKatherine L. BoumanJustin G. ChenMichael RubinsteinOral BuyukozturkFredo DurandWilliam T. Freeman

The estimation of material properties is important for scene understanding, with many applications in vision, robotics, andstructural engineering. This paper connects fundamentals of vibration mechanics with computer vision techniques in order to infermaterial properties from small, often imperceptible motions in video... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet