人工智能
计算机视觉
计算机科学
职位(财务)
像素
特征(语言学)
飞行时间
光学
均方误差
点(几何)
物理
数学
统计
几何学
哲学
语言学
经济
财务
作者
Pengfei Yu,Shu Yang,Shengyong Chen
出处
期刊:Applied Optics
[The Optical Society]
日期:2020-12-07
卷期号:59 (35): 11104-11104
被引量:5
摘要
Time-of-flight (ToF) cameras can acquire the distance between the sensor and objects with high frame rates, offering bright prospects for ToF cameras in many applications. Low-resolution and depth errors limit the accuracy of ToF cameras, however. In this paper, we present a flexible accuracy improvement method for depth compensation and feature points position correction of ToF cameras. First, a distance-error model of each pixel in the depth image is established to model sinusoidal waves of ToF cameras and compensate for the measured depth data. Second, a more accurate feature point position is estimated with the aid of a high-resolution camera. Experiments evaluate the proposed method, and the result shows the root mean square error is reduced from 4.38 mm to 3.57 mm.
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