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Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database.

, , , , and . CoRR, (2017)

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A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors., , , , and . CoRR, (2016)Multivariate Variational Mode Decomposition., and . IEEE Trans. Signal Process., 67 (23): 6039-6052 (2019)FPGA-Based Design for Online Computation of Multivariate Empirical Mode Decomposition., , and . IEEE Trans. Circuits Syst., 67-I (12): 5040-5050 (2020)Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database., , , , and . CoRR, (2017)Assessing the performance bounds of local feature detectors: Taking inspiration from electronics design practices., , , , and . IWSSIP, page 166-169. IEEE, (2015)Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition., , , , , and . Sensors, 15 (5): 10923-10947 (2015)Multivariate Signal Denoising Based on Generic Multivariate Detrended Fluctuation Analysis., , and . SSP, page 441-445. IEEE, (2021)A Novel Multivariate Goodness-of-Fit Test based on Mahalanobis Distance and Its Application in Denoising., and . EUSIPCO, page 2050-2054. IEEE, (2021)Quadrivariate Empirical Mode Decomposition., and . IJCNN, page 1-7. IEEE, (2010)Translation invariant DWT based denoising using goodness of fit test., , , , and . SSP, page 1-5. IEEE, (2016)