对于深度估计传感器的三重摄像头纠正
Minkyung Jeon1, Jinhong Park2, Jin-Woo Kim2
1Department of Information and Communication Engineering, Korea University of Technology and Education (KOREATECH), Cheonan-si 31253, Republic of Korea.
Sensors (Basel, Switzerland)
|September 28, 2024
概括
这项研究引入了一种新的方法,即使用单一图像同时调整三台摄像机,简化深度估计. 这种方法避免了不必要的图像旋转,并简化了3D点云生成的过程.
科学领域:
- 计算机视觉 计算机视觉
- 机器人技术 机器人技术 机器人技术
- 3D成像是3D成像中的一种.
背景情况:
- 立体校正对于立体摄像机的深度估计至关重要.
- 深度摄像头通常包括用于3D点云生成的RGB摄像头,需要额外的对齐步骤.
- 当前的方法需要多个校准图像,并可能导致不必要的图像旋转.
研究的目的:
- 为三台摄像机开发一种新的,单一拍摄的校正方法.
- 消除了对第三个摄像头进行连续纠正和重新映射的需要.
- 为了避免现有的立体声整顿技术中常见的图像旋转问题.
主要方法:
- 设计了一个专门的实验室环境,用棋盘图案进行校准.
- 从三摄像头设置中获取多个样本图像.
- 开发了一个定制的优化功能,适用于在立体声匹配中同时进行三摄相机校正.
主要成果:
- 在一次操作中,成功地同时纠正了三个摄像头.
- 取得的性能与传统的多步整形方法相美.
- 通过实验验证证明了通过实验验证消除不必要的图像旋转.
结论:
- 拟议的方法提供了一个高效和有效的解决方案,用于三摄像头整顿.
- 这种技术简化了用于深度估计和3D点云生成的预处理管道.
- 该方法提供了准确的对齐,而不会引入有害的图像旋转.
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