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Updated: Jul 23, 2025

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对立体图像的新型无参考质量评估指标,考虑全面的3D质量信息

Liquan Shen1, Yang Yao1, Xianqiu Geng1

  • 1Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
概括

这项研究引入了一种新的无参考立体图像质量评估指标. 它通过分析环形图像和3D视觉感知来有效预测感知质量,优于现有的方法.

关键词:
机器学习是机器学习.自然景观统计自然景观统计没有参考,没有参考.空间域是一个空间域.立体视觉信息 立体视觉信息立体图像质量评估 立体图像质量评估转换域名 转换域名 域名

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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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