用增强图像提升水下关键点检测与匹配精度
UKDM: Underwater keypoint detection and matching using underwater image enhancement techniques
- 融合生成对抗网络与卷积神经网络，优化水下图像质量
- 在多个水下数据集上检测准确率显著优于传统方法
- 适合水下机器人、海洋探测等视觉任务研究者
本文旨在探索利用水下图像增强技术提升关键点检测与匹配性能。通过应用生成对抗网络和卷积神经网络等深度学习模型，寻找能提高关键点检测准确率与匹配算法鲁棒性的最佳方法。在多个水下数据集上评估了这些技术的性能，结果表明相比传统方法有显著改进。
原文摘要 · Abstract (English)
The purpose of this paper is to explore the use of underwater image enhancement techniques to improve keypoint detection and matching. By applying advanced deep learning models, including generative adversarial networks and convolutional neural networks, we aim to find the best method which improves the accuracy of keypoint detection and the robustness of matching algorithms. We evaluate the performance of these techniques on various underwater datasets, demonstrating significant improvements over traditional methods.
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