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基于自适应焦点体积聚合的自立立体测量

Sanshan Gao1, Chi Fai Cheung1

  • 1State Key Laboratory of Ultra-Precision Machining Technology, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China.

Sensors (Basel, Switzerland)
|December 9, 2023
PubMed
概括

本研究介绍了一种使用卷积神经网络的自适应焦点体积聚合方法,以减少自立立体测量系统中的噪声. 无监督方法提高了深度估计的准确性和从原始数据的表面形状重建.

关键词:
通过3D测量进行3D测量.汽车立体仪表仪表学卷积神经网络是一种卷积神经网络.机器学习是机器学习.

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相关概念视频

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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.
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