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E2LNet:一个高效和有效的轻量级网络,用于全景深度估计

Jiayue Xu1, Jianping Zhao1, Hua Li1

  • 1School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China.

Sensors (Basel, Switzerland)
|November 25, 2023
PubMed
概括

本研究引入了单眼全景深度估计的新框架,解决了扭曲和全球背景问题. 该方法以较少的参数实现了竞争性性能,为移动增强现实提供了可扩展的解决方案.

关键词:
扩张的卷积扩张的卷积.全球平均汇聚的全球平均值全景深度估计估计像素明智的注意力注意力.

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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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