Video-based object recognition faces the problem of multi-view object variance, noisy conditions, and limited computational resources. In our previous work, we introduced a multi-view recognition approach with a compa...
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ISBN:
(纸本)9781467395557
Video-based object recognition faces the problem of multi-view object variance, noisy conditions, and limited computational resources. In our previous work, we introduced a multi-view recognition approach with a compact global image descriptor coupled with orientation sensor data. Since our purpose is to run all computations in a handheld device, contrary to more intensive deep learning approaches, now we investigate the efficiency of our approach using a full representation image model with KD-Tree indexing. Experimental results show the effectiveness of our approach through three databases using noisy images.
This study focuses on investigating the performance of the Power System Stabilizer (PSS) and the Excitation Control System during a three-phase fault with a duration of 2 seconds. Additionally, it examines the impact ...
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