TY - GEN
T1 - Regime Sorting for Multiscale Vibrations and Phase-Based Motion Extraction
AU - Collier, Sean
AU - Dare, Tyler
N1 - Publisher Copyright:
© 2023, The Society for Experimental Mechanics, Inc.
PY - 2023
Y1 - 2023
N2 - While phase-based motion magnification has shown great success in enhancing sub-pixel motion, super-pixel motion has proven more difficult to work with. As “small motion” is usually a major assumption in the derivation of optical flow, large-scale super-pixel motion has been shown to cause artifacts and limit the usability of the method in both magnification and extraction applications. Viable methods do exist and have shown promise for scenarios where unimportant large motions are present in an otherwise ideal video. Likewise, current rules of thumb suggest utilizing a pyramid approach, where the images are downsampled until the motion becomes sub-pixel and thus avoids the issue entirely. However, the approaches for effectively removing these large-scale, super-pixel motions neglect their potential importance for objects which exhibit both super- and sub-pixel motions of interest. Further, for such objects, downsampling could degrade and even obliterate the relevant sub-pixel motion. Therefore, an approach is conceived and developed exploiting this degradation in conjunction with complexity pursuit (a blind source separation technique) to allow for more effective and purposeful processing using the complex steerable pyramid. With greater information in the beginning, rules of thumb and temporal bandpassing can be utilized more effectively to extract viable motion measurements in both regimes of pixel motion.
AB - While phase-based motion magnification has shown great success in enhancing sub-pixel motion, super-pixel motion has proven more difficult to work with. As “small motion” is usually a major assumption in the derivation of optical flow, large-scale super-pixel motion has been shown to cause artifacts and limit the usability of the method in both magnification and extraction applications. Viable methods do exist and have shown promise for scenarios where unimportant large motions are present in an otherwise ideal video. Likewise, current rules of thumb suggest utilizing a pyramid approach, where the images are downsampled until the motion becomes sub-pixel and thus avoids the issue entirely. However, the approaches for effectively removing these large-scale, super-pixel motions neglect their potential importance for objects which exhibit both super- and sub-pixel motions of interest. Further, for such objects, downsampling could degrade and even obliterate the relevant sub-pixel motion. Therefore, an approach is conceived and developed exploiting this degradation in conjunction with complexity pursuit (a blind source separation technique) to allow for more effective and purposeful processing using the complex steerable pyramid. With greater information in the beginning, rules of thumb and temporal bandpassing can be utilized more effectively to extract viable motion measurements in both regimes of pixel motion.
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U2 - 10.1007/978-3-031-04098-6_7
DO - 10.1007/978-3-031-04098-6_7
M3 - Conference contribution
AN - SCOPUS:85135077377
SN - 9783031040979
T3 - Conference Proceedings of the Society for Experimental Mechanics Series
SP - 61
EP - 71
BT - Rotating Machinery, Optical Methods and Scanning LDV Methods, Volume 6 - Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022
A2 - Di Maio, Dario
A2 - Baqersad, Javad
PB - Springer
T2 - 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022
Y2 - 7 February 2022 through 10 February 2022
ER -