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一个基于计算机视觉的框架,用于客观评估沉没的上眼

Longfei Weng1, Yuchen Shen1, Shiqi Xie2,3

  • 1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.

Scientific reports
|October 22, 2025
PubMed
概括

本研究介绍了一种计算机视觉 (CV) 框架,用于客观地评估沉没的上眼. 该方法从单个图像中分析眼形态,使手术结果能够更好地评估.

关键词:
计算机视觉 计算机视觉 计算机视觉图像评估 图像评估 图像评估沉没的上眼上方的眼.支持矢量机器的支持矢量机器.

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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.