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相关概念视频

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

593
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
593

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相关实验视频

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Determining 3D Flow Fields via Multi-camera Light Field Imaging
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神经辐射场用于鱼眼驾驶场景,使用边缘感知集成深度监控.

Jiho Choi1, Sang Jun Lee1

  • 1Division of Electronics and Information Engineering, Jeonbuk National University, Jeonju 54896, Republic of Korea.

Sensors (Basel, Switzerland)
|November 9, 2024
PubMed
概括

这项研究引入了神经辐射场 (NeRF) 的边缘感知损失函数,以从鱼眼相机图像中生成现实的驾驶场景视图. 该方法有效地处理扭曲,并通过使用LiDAR和深度数据改进新型视图合成.

科学领域:

  • 计算机视觉 计算机视觉
  • 计算机图形 计算机图形
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 神经辐射场 (NeRF) 在新的视图合成方面表现出色,但受到针孔相机假设的限制.
  • 驾驶场景由于鱼眼相机的广视场和图像扭曲而带来了独特的挑战.

研究的目的:

  • 为了适应NeRF以捕捉鱼眼相机的驾驶场景.
  • 开发一种有效的方法,从扭曲的广角图像中合成光现实的新视图.

主要方法:

  • 为NeRF.RF提出了一个边缘感知集成损失函数.
  • 利用稀疏的LiDAR预测和基于学习的密集深度地图.
  • 将更大的权重分配给与传感器数据相似的深度值的点.

主要成果:

  • 在KITTI-360和JBNU-Depth360数据集上表现出有效性.
  • 与现有方法相比,在新视图合成中取得了更高的性能.
  • 从鱼眼驾驶数据中成功合成了光现实的图像.

结论:

  • 提出的边缘意识NeRF方法克服了传统方法对鱼眼摄像头数据的局限性.
关键词:
深度监督监督的情况.鱼眼摄像头是一种鱼眼相机.神经辐射场是一个神经辐射场.视图综合 查看综合

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  • 这种技术在复杂的驾驶环境中显著增强了新视图的合成.
  • 该方法显示出在自动驾驶和场景重建方面的应用潜力很大.