A Survey on 3D Cameras: Metrological Comparison of Time-of-Flight, Structured-Light and Active Stereoscopy Technologies

von: Silvio Giancola, Matteo Valenti, Remo Sala

Springer-Verlag, 2018

ISBN: 9783319917610 , 96 Seiten

Format: PDF, Online Lesen

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A Survey on 3D Cameras: Metrological Comparison of Time-of-Flight, Structured-Light and Active Stereoscopy Technologies


 

Preface

6

Contents

8

Acronyms

10

1 Introduction

11

2 3D Shape Acquisition

14

2.1 Camera Model

14

2.1.1 Linear Camera Model

15

2.1.2 Non-linear Camera Model

19

2.2 Depth by Triangulation

21

2.2.1 Stereoscopy

21

2.2.2 Epipolar Geometry

23

2.2.3 Dense Stereoscopy

25

2.2.4 Active Stereoscopy

25

2.2.5 Structured-Light

27

2.3 Depth by Time-of-Flight

29

2.3.1 Time-of-Flight Signal

29

2.3.2 Time-of-Flight Cameras

35

2.4 From Depth Map to Point Cloud

35

3 State-of-the-Art Devices Comparison

38

3.1 PMD Technologies

38

3.2 MESA Imaging

38

3.3 PrimeSense

39

3.4 Microsoft Kinect

40

3.5 Texas Instrument OPT8140

42

3.6 Google Tango™

43

3.7 Orbbec

44

3.8 Intel RealSense™

44

3.9 StereoLabs ZED™: Passive Stereo

46

3.10 Discussion

47

4 Metrological Qualification of the Kinect V2™ Time-of-Flight Camera

49

4.1 Time-of-Flight Modulated Signal

49

4.2 Temperature and Stability

52

4.3 Pixel-Wise Characterization

54

4.3.1 Setup

55

4.3.2 Random Component of the Uncertainty in Space

55

4.3.3 Bias Component of the Uncertainty in Space

57

4.3.4 Error Due to the Incidence Angle on the Target

58

4.3.5 Error Due to the Target Characteristics

59

4.3.5.1 Focus on Color

60

4.3.5.2 Focus on Material

60

4.3.5.3 Reflectivity

61

4.4 Sensor-Wise Characterization

62

4.4.1 Known Geometry Reconstructions

62

4.4.1.1 Plane

62

4.4.1.2 Cylinder

63

4.4.1.3 Sphere

64

4.4.2 Mixed Pixels Error

64

4.4.3 Multiple Path Error

65

4.5 Conclusion

68

5 Metrological Qualification of the Orbbec Astra S™ Structured-Light Camera

69

5.1 Preliminary Experiments

69

5.2 Random Error Component Estimation

72

5.3 Systematic Error Component Estimation

74

5.4 Shape Reconstruction

75

5.4.1 Sphere

75

5.4.2 Cylinder

75

5.4.2.1 Concave Corner Shape

76

5.5 Conclusion

77

6 Metrological Qualification of the Intel D400™ Active Stereoscopy Cameras

78

6.1 Preliminary Experiments

78

6.2 Pixel-Wise Characterization

82

6.2.1 Random Component of the Uncertainty in Space

83

6.2.2 Bias Component of the Uncertainty in Space

84

6.2.3 Uncertainty Due to the Orientated Surfaces

86

6.3 Sensor-Wise Characterization

88

6.3.1 Plane Reconstruction

88

6.3.2 Cylinder Reconstruction

88

6.3.3 Sphere Reconstruction

89

6.3.4 Mixed Pixels Error

89

6.4 Conclusion

90

7 Conclusion

93

References

95