Abstract
This research paper investigates the application of computer vision techniques in lightweight gaming technology, specifically focusing on image preprocessing and processing algorithms. The aim is to improve visual quality and efficiency in computer vision-based games. By employing techniques such as optimization of raw visual data and performing segmentation, thresholding, and logical operations, game developers can enhance the gaming experience. Additionally, the paper discusses essential steps including feature extraction, object recognition, real- time performance optimization, and integration into game mechanics. These findings provide a valuable foundation for the integration of computer vision into lightweight gaming, fostering innovation and advancements in the field [6].
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