HIGHLIGHTS
- who: Claudio Mucignat from the Laboratory for Multiscale Studies in Building Physics, Swiss Federal Laboratories for Materials Science and Technology, Uberlandstrasse, Du00fcbendorf, ZH, Switzerland have published the paper: A lightweight convolutional neural network to reconstruct deformation in BOS recordings, in the Journal: (JOURNAL)
- what: By comparing the reconstructed deformation fields using the LIMA or conventional postprocessing techniques used in Direct Image Correlation (DIC) or conventional image cross-correlation the authors show that LIMA is more accurate and robust in the synthetic test case. To overcome these difficulties, the authors propose a Lightweight Image Matching Architecture . . .
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