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Table 1 A comparison of 3D imaging methods

From: How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques

Type

Sensor

Principle

Advantages

Disadvantages

Output

Active

Uses active sensors such as structured light and laser scanners

Uses radiometric interaction with the object to directly capture a 3D point cloud

(1) Overcomes correspondence problems

(2) High accuracy

(1) Limited to specific environments and illumination conditions

(2) Requires specialized, expensive equipment

(3) Lack of color information

(1) 3D point clouds

(2) Depth maps

Passive

Uses passive sensors such as standard imaging cameras

Analyzes multiple images from different perspectives to generate a 3D point cloud

(1) Low cost

(2) Includes color information

(1) Correspondence problems

(2) Low accuracy (outliers and noise)

(3) Computationally complex

(4) Relatively slow

(1) 3D point clouds

(2) Depth maps

(3) Voxels