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Table 1 Distinctive aspects of three representing techniques for 3D surface imaging [13,14,15,16,17,18]

From: Optical MEMS devices for compact 3D surface imaging cameras

 

Stereoscopic vision

Structured light

ToF (time-of-flight)

Principle

Compare disparities of stereo images from two 2D sensors

Detect distortions of illuminated patterns by 3D surface

Measure the transit time of reflected light from the target object

Depth accuracy

mm to cm (difficulty with smooth and non-textured surface)

μm to mm (depends on the pattern density)

mm to cm (depends on resolution of ToF sensor)

Image resolution

High (camera dependent)

High (camera dependent)

Low/medium (ToF sensor size dependent)

Scanning speed

Medium (limited by software complexity)

Medium/Fast (limited by SW complexity and camera speed)

Fast (limited by sensor speed)

Low light performance

Weak

Good

Good

Bright light performance

Good

Weak/medium (depends on illumination power)

Medium

Distance range

Mid range (depends on the distance between two cameras)

Very short to mid range (depends on illumination power)

Short to long range (depends on laser power and modulation)

Software complexity

High

Low/middle/high (depends on pattern density and variability)

Low

Material cost

Low

Middle/high

Middle