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无监督立体声匹配与表面正常辅助室内深度估计

Xiule Fan1, Ali Jahani Amiri2, Baris Fidan1

  • 1Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave. W., Waterloo, ON N2L 3G1, Canada.

Sensors (Basel, Switzerland)
|December 23, 2023
PubMed
概括

这项研究引入了一种用于立体匹配的新型深度学习方法,通过估计表面正常值来提高无纹理室内区域的深度准确性. 新方法提高了计算机视觉应用的立体匹配质量.

关键词:
室内应用 室内应用通常估计的正常估计.立体声匹配配对应没有监督的学习学习.

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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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