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Two approaches to 3D machine vision: sensing depth vs. inferring it

This story is from 2026-09-11. It is preserved in the archive; the latest stories are on the live feed.

This article looks at the two main ways machines understand depth. One approach uses LiDAR, radar, stereo, time-of-flight and other 3D sensors to measure distance directly. The other uses standard 2D cameras and neural networks to estimate 3D structure. Caterpillar is used as an example of direct s…

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  1. 2026-09-11 14:24 · r/computervision
    Two approaches to 3D machine vision: sensing depth vs. inferring it

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