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Neuromorphic Synergy for Video Binarization
Feb. 21, 2024, 5:46 a.m. | Shijie Lin, Xiang Zhang, Lei Yang, Lei Yu, Bin Zhou, Xiaowei Luo, Wenping Wang, Jia Pan
cs.CV updates on arXiv.org arxiv.org
Abstract: Bimodal objects, such as the checkerboard pattern used in camera calibration, markers for object tracking, and text on road signs, to name a few, are prevalent in our daily lives and serve as a visual form to embed information that can be easily recognized by vision systems. While binarization from intensity images is crucial for extracting the embedded information in the bimodal objects, few previous works consider the task of binarization of blurry images due …
abstract arxiv cs.cv daily embed form information neuromorphic objects serve synergy systems text tracking type video vision visual
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