G. Adiv, “Determining three-dimensional motion and structure from optical flow generated by several moving objects,” IEEE Trans. PAMI. pp. 384–401 (1985).

[Crossref]

F. Eberhardt and F. Andrews, “Laser heterodyne system for measurement and analysis of vibration,” J. Acoustical Soc. Am. 48, 603–609 (1970).

[Crossref]

P. J. Besl and N. D. McKay, “A method for registration of 3-D shapes,” IEEE Trans. PAMI. 14, 239–256 (1992).

[Crossref]

E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, “ORB: An efficient alternative to SIFT or SURF,” in 2011 International Conference on Computer Vision (IEEE, 2011), pp. 2564–2571.

[Crossref]

M. Calonder, V. Lepetit, M. Ozuysal, T. Trzcinski, C. Strecha, and P. Fua, “BRIEF: Computing a Local Binary Descriptor Very Fast,” IEEE Trans. PAMI. 34, 1281–1298 (2012).

[Crossref]

Y. Lou, L. Yan, B. Chen, and S. Zhang, “Laser homodyne straightness interferometer with simultaneous measurement of six degrees of freedom motion errors for precision linear stage metrology,” Opt. Express 25, 6805–6821 (2017).

[Crossref]
[PubMed]

E. Zhang, B. Chen, J. Sun, L. Yan, and S. Zhang, “Laser heterodyne interferometric system with following interference units for large X-Y-θ planar motion measurement,” Opt. Express 25, 13684–13690 (2017).

[Crossref]
[PubMed]

D. Chetverikov, D. Svirko, D. Stepanov, and P. Krsek, “The Trimmed Iterative Closest Point algorithm,” in Object Recognition Supported by User Interaction for Service Robots, vol. 3 (IEEE, 2002), vol. 3, pp. 545–548.

[Crossref]

J. Engel, T. Schöps, and D. Cremers, “LSD-SLAM: Large-Scale Direct Monocular SLAM,” in Computer Vision – ECCV 2014 (Springer, 2014), pp. 834–849.

J. Vass, R. Šmíd, R. Randall, P. Sovka, C. Cristalli, and B. Torcianti, “Avoidance of speckle noise in laser vibrometry by the use of kurtosis ratio: Application to mechanical fault diagnostics,” Mechanical Sys. Signal Process. 22, 647–671 (2008).

[Crossref]

Y. Yeh and H. Cummins, “Localized fluid flow measurements with an He–Ne laser spectrometer,” Appl. Phys. Lett. 4, 176–178 (1964).

[Crossref]

S. May, D. Droeschel, S. Fuchs, D. Holz, and A. Nüchter, “Robust 3D-mapping with time-of-flight cameras,” in 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IEEE, 2009), pp. 1673–1678.

[Crossref]

F. Eberhardt and F. Andrews, “Laser heterodyne system for measurement and analysis of vibration,” J. Acoustical Soc. Am. 48, 603–609 (1970).

[Crossref]

J. Engel, T. Schöps, and D. Cremers, “LSD-SLAM: Large-Scale Direct Monocular SLAM,” in Computer Vision – ECCV 2014 (Springer, 2014), pp. 834–849.

B. Triggs, P. F. McLauchlan, R. I. Hartley, and A. W. Fitzgibbon, “Bundle Adjustment — A Modern Synthesis,” in Proceedings of International Workshop on Vision Algorithms (Springer, 1999), pp. 298–372.

C. Forster, M. Pizzoli, and D. Scaramuzza, “SVO: Fast semi-direct monocular visual odometry,” in 2014 IEEE International Conference on Robotics and Automation (IEEE, 2014), pp. 15–22.

[Crossref]

D. Forsyth and J. Ponce, Computer Vision: A Modern Approach (Prentice Hall, 2011).

M. Calonder, V. Lepetit, M. Ozuysal, T. Trzcinski, C. Strecha, and P. Fua, “BRIEF: Computing a Local Binary Descriptor Very Fast,” IEEE Trans. PAMI. 34, 1281–1298 (2012).

[Crossref]

V. Lepetit, F. Moreno-Noguer, and P. Fua, “EPnP: An Accurate O(n) Solution to the PnP Problem,” International Journal of Computer Vision 81, 155 (2008).

[Crossref]

S. May, D. Droeschel, S. Fuchs, D. Holz, and A. Nüchter, “Robust 3D-mapping with time-of-flight cameras,” in 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IEEE, 2009), pp. 1673–1678.

[Crossref]

W. K. George and J. L. Lumley, “The laser-Doppler velocimeter and its application to the measurement of turbulence,” J. Fluid Mechanics 60, 321–362 (1973).

[Crossref]

P. E. Gill, W. Murray, M. H. Wright, and et al., Numerical Linear Algebra and Optimization, vol. 1 (Addison-Wesley, 1991).

S. Rothberg and N. A. Halliwell, “Vibration measurements on rotating machinery using laser Doppler velocimetry,” J. Vibration Acoustics 116, 326–331 (1994).

[Crossref]

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision (Cambridge University, 2003).

B. Triggs, P. F. McLauchlan, R. I. Hartley, and A. W. Fitzgibbon, “Bundle Adjustment — A Modern Synthesis,” in Proceedings of International Workshop on Vision Algorithms (Springer, 1999), pp. 298–372.

S. Shrestha, F. Heide, W. Heidrich, and G. Wetzstein, “Computational Imaging with Multi-camera Time-of-flight Systems,” ACM Trans. Graphic 35, 33 (2016).

[Crossref]

F. Heide, G. Wetzstein, M. Hullin, and W. Heidrich, “Doppler Time-of-flight Imaging,” in Proceedings of ACM SIGGRAPH 2015 Emerging Technologies (ACM, 2015), pp. 9.

S. Shrestha, F. Heide, W. Heidrich, and G. Wetzstein, “Computational Imaging with Multi-camera Time-of-flight Systems,” ACM Trans. Graphic 35, 33 (2016).

[Crossref]

F. Heide, G. Wetzstein, M. Hullin, and W. Heidrich, “Doppler Time-of-flight Imaging,” in Proceedings of ACM SIGGRAPH 2015 Emerging Technologies (ACM, 2015), pp. 9.

N. J. Higham, Accuracy and Stability of Numerical Algorithms (SIAM, 2002).

[Crossref]

S. May, D. Droeschel, S. Fuchs, D. Holz, and A. Nüchter, “Robust 3D-mapping with time-of-flight cameras,” in 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IEEE, 2009), pp. 1673–1678.

[Crossref]

B. K. Horn and B. G. Schunck, “Determining optical flow,” Artificial Intelligence 17, 185–203 (1981).

[Crossref]

A. H. Khawaja, Q. Huang, J. Li, and Z. Zhang, “Estimation of current and sag in overhead power transmission lines with optimized magnetic field sensor array placement,” IEEE Trans. Magnetics 53, 1–10 (2017).

[Crossref]

F. Heide, G. Wetzstein, M. Hullin, and W. Heidrich, “Doppler Time-of-flight Imaging,” in Proceedings of ACM SIGGRAPH 2015 Emerging Technologies (ACM, 2015), pp. 9.

L. Miyashita, R. Yonezawa, Y. Watanabe, and M. Ishikawa, “3D Motion Sensing of Any Object Without Prior Knowledge,” ACM Trans. Graphic. 34, 218 (2015).

[Crossref]

A. H. Khawaja, Q. Huang, J. Li, and Z. Zhang, “Estimation of current and sag in overhead power transmission lines with optimized magnetic field sensor array placement,” IEEE Trans. Magnetics 53, 1–10 (2017).

[Crossref]

E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, “ORB: An efficient alternative to SIFT or SURF,” in 2011 International Conference on Computer Vision (IEEE, 2011), pp. 2564–2571.

[Crossref]

D. Chetverikov, D. Svirko, D. Stepanov, and P. Krsek, “The Trimmed Iterative Closest Point algorithm,” in Object Recognition Supported by User Interaction for Service Robots, vol. 3 (IEEE, 2002), vol. 3, pp. 545–548.

[Crossref]

M. Calonder, V. Lepetit, M. Ozuysal, T. Trzcinski, C. Strecha, and P. Fua, “BRIEF: Computing a Local Binary Descriptor Very Fast,” IEEE Trans. PAMI. 34, 1281–1298 (2012).

[Crossref]

V. Lepetit, F. Moreno-Noguer, and P. Fua, “EPnP: An Accurate O(n) Solution to the PnP Problem,” International Journal of Computer Vision 81, 155 (2008).

[Crossref]

S. Rusinkiewicz and M. Levoy, “Efficient variants of the ICP algorithm,” in Proceedings of Third International Conference on 3-D Digital Imaging and Modeling (IEEE, 2001), pp. 145–152.

[Crossref]

A. H. Khawaja, Q. Huang, J. Li, and Z. Zhang, “Estimation of current and sag in overhead power transmission lines with optimized magnetic field sensor array placement,” IEEE Trans. Magnetics 53, 1–10 (2017).

[Crossref]

W. K. George and J. L. Lumley, “The laser-Doppler velocimeter and its application to the measurement of turbulence,” J. Fluid Mechanics 60, 321–362 (1973).

[Crossref]

S. May, D. Droeschel, S. Fuchs, D. Holz, and A. Nüchter, “Robust 3D-mapping with time-of-flight cameras,” in 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IEEE, 2009), pp. 1673–1678.

[Crossref]

P. J. Besl and N. D. McKay, “A method for registration of 3-D shapes,” IEEE Trans. PAMI. 14, 239–256 (1992).

[Crossref]

B. Triggs, P. F. McLauchlan, R. I. Hartley, and A. W. Fitzgibbon, “Bundle Adjustment — A Modern Synthesis,” in Proceedings of International Workshop on Vision Algorithms (Springer, 1999), pp. 298–372.

L. Miyashita, R. Yonezawa, Y. Watanabe, and M. Ishikawa, “3D Motion Sensing of Any Object Without Prior Knowledge,” ACM Trans. Graphic. 34, 218 (2015).

[Crossref]

V. Lepetit, F. Moreno-Noguer, and P. Fua, “EPnP: An Accurate O(n) Solution to the PnP Problem,” International Journal of Computer Vision 81, 155 (2008).

[Crossref]

P. E. Gill, W. Murray, M. H. Wright, and et al., Numerical Linear Algebra and Optimization, vol. 1 (Addison-Wesley, 1991).

S. May, D. Droeschel, S. Fuchs, D. Holz, and A. Nüchter, “Robust 3D-mapping with time-of-flight cameras,” in 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IEEE, 2009), pp. 1673–1678.

[Crossref]

M. Calonder, V. Lepetit, M. Ozuysal, T. Trzcinski, C. Strecha, and P. Fua, “BRIEF: Computing a Local Binary Descriptor Very Fast,” IEEE Trans. PAMI. 34, 1281–1298 (2012).

[Crossref]

C. Forster, M. Pizzoli, and D. Scaramuzza, “SVO: Fast semi-direct monocular visual odometry,” in 2014 IEEE International Conference on Robotics and Automation (IEEE, 2014), pp. 15–22.

[Crossref]

M. Ye, X. Wang, R. Yang, L. Ren, and M. Pollefeys, “Accurate 3D pose estimation from a single depth image,” in IEEE International Conference on Computer Vision (IEEE, 2011), pp. 731–738.

D. Forsyth and J. Ponce, Computer Vision: A Modern Approach (Prentice Hall, 2011).

E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, “ORB: An efficient alternative to SIFT or SURF,” in 2011 International Conference on Computer Vision (IEEE, 2011), pp. 2564–2571.

[Crossref]

J. Vass, R. Šmíd, R. Randall, P. Sovka, C. Cristalli, and B. Torcianti, “Avoidance of speckle noise in laser vibrometry by the use of kurtosis ratio: Application to mechanical fault diagnostics,” Mechanical Sys. Signal Process. 22, 647–671 (2008).

[Crossref]

M. Ye, X. Wang, R. Yang, L. Ren, and M. Pollefeys, “Accurate 3D pose estimation from a single depth image,” in IEEE International Conference on Computer Vision (IEEE, 2011), pp. 731–738.

E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, “ORB: An efficient alternative to SIFT or SURF,” in 2011 International Conference on Computer Vision (IEEE, 2011), pp. 2564–2571.

[Crossref]

S. Rusinkiewicz and M. Levoy, “Efficient variants of the ICP algorithm,” in Proceedings of Third International Conference on 3-D Digital Imaging and Modeling (IEEE, 2001), pp. 145–152.

[Crossref]

C. Forster, M. Pizzoli, and D. Scaramuzza, “SVO: Fast semi-direct monocular visual odometry,” in 2014 IEEE International Conference on Robotics and Automation (IEEE, 2014), pp. 15–22.

[Crossref]

J. Engel, T. Schöps, and D. Cremers, “LSD-SLAM: Large-Scale Direct Monocular SLAM,” in Computer Vision – ECCV 2014 (Springer, 2014), pp. 834–849.

B. K. Horn and B. G. Schunck, “Determining optical flow,” Artificial Intelligence 17, 185–203 (1981).

[Crossref]

S. Shrestha, F. Heide, W. Heidrich, and G. Wetzstein, “Computational Imaging with Multi-camera Time-of-flight Systems,” ACM Trans. Graphic 35, 33 (2016).

[Crossref]

J. Vass, R. Šmíd, R. Randall, P. Sovka, C. Cristalli, and B. Torcianti, “Avoidance of speckle noise in laser vibrometry by the use of kurtosis ratio: Application to mechanical fault diagnostics,” Mechanical Sys. Signal Process. 22, 647–671 (2008).

[Crossref]

J. Vass, R. Šmíd, R. Randall, P. Sovka, C. Cristalli, and B. Torcianti, “Avoidance of speckle noise in laser vibrometry by the use of kurtosis ratio: Application to mechanical fault diagnostics,” Mechanical Sys. Signal Process. 22, 647–671 (2008).

[Crossref]

D. Chetverikov, D. Svirko, D. Stepanov, and P. Krsek, “The Trimmed Iterative Closest Point algorithm,” in Object Recognition Supported by User Interaction for Service Robots, vol. 3 (IEEE, 2002), vol. 3, pp. 545–548.

[Crossref]

M. Calonder, V. Lepetit, M. Ozuysal, T. Trzcinski, C. Strecha, and P. Fua, “BRIEF: Computing a Local Binary Descriptor Very Fast,” IEEE Trans. PAMI. 34, 1281–1298 (2012).

[Crossref]

D. Chetverikov, D. Svirko, D. Stepanov, and P. Krsek, “The Trimmed Iterative Closest Point algorithm,” in Object Recognition Supported by User Interaction for Service Robots, vol. 3 (IEEE, 2002), vol. 3, pp. 545–548.

[Crossref]

J. Vass, R. Šmíd, R. Randall, P. Sovka, C. Cristalli, and B. Torcianti, “Avoidance of speckle noise in laser vibrometry by the use of kurtosis ratio: Application to mechanical fault diagnostics,” Mechanical Sys. Signal Process. 22, 647–671 (2008).

[Crossref]

B. Triggs, P. F. McLauchlan, R. I. Hartley, and A. W. Fitzgibbon, “Bundle Adjustment — A Modern Synthesis,” in Proceedings of International Workshop on Vision Algorithms (Springer, 1999), pp. 298–372.

M. Calonder, V. Lepetit, M. Ozuysal, T. Trzcinski, C. Strecha, and P. Fua, “BRIEF: Computing a Local Binary Descriptor Very Fast,” IEEE Trans. PAMI. 34, 1281–1298 (2012).

[Crossref]

J. Vass, R. Šmíd, R. Randall, P. Sovka, C. Cristalli, and B. Torcianti, “Avoidance of speckle noise in laser vibrometry by the use of kurtosis ratio: Application to mechanical fault diagnostics,” Mechanical Sys. Signal Process. 22, 647–671 (2008).

[Crossref]

M. Ye, X. Wang, R. Yang, L. Ren, and M. Pollefeys, “Accurate 3D pose estimation from a single depth image,” in IEEE International Conference on Computer Vision (IEEE, 2011), pp. 731–738.

L. Miyashita, R. Yonezawa, Y. Watanabe, and M. Ishikawa, “3D Motion Sensing of Any Object Without Prior Knowledge,” ACM Trans. Graphic. 34, 218 (2015).

[Crossref]

S. Shrestha, F. Heide, W. Heidrich, and G. Wetzstein, “Computational Imaging with Multi-camera Time-of-flight Systems,” ACM Trans. Graphic 35, 33 (2016).

[Crossref]

F. Heide, G. Wetzstein, M. Hullin, and W. Heidrich, “Doppler Time-of-flight Imaging,” in Proceedings of ACM SIGGRAPH 2015 Emerging Technologies (ACM, 2015), pp. 9.

P. E. Gill, W. Murray, M. H. Wright, and et al., Numerical Linear Algebra and Optimization, vol. 1 (Addison-Wesley, 1991).

E. Zhang, B. Chen, J. Sun, L. Yan, and S. Zhang, “Laser heterodyne interferometric system with following interference units for large X-Y-θ planar motion measurement,” Opt. Express 25, 13684–13690 (2017).

[Crossref]
[PubMed]

Y. Lou, L. Yan, B. Chen, and S. Zhang, “Laser homodyne straightness interferometer with simultaneous measurement of six degrees of freedom motion errors for precision linear stage metrology,” Opt. Express 25, 6805–6821 (2017).

[Crossref]
[PubMed]

M. Ye, X. Wang, R. Yang, L. Ren, and M. Pollefeys, “Accurate 3D pose estimation from a single depth image,” in IEEE International Conference on Computer Vision (IEEE, 2011), pp. 731–738.

M. Ye, X. Wang, R. Yang, L. Ren, and M. Pollefeys, “Accurate 3D pose estimation from a single depth image,” in IEEE International Conference on Computer Vision (IEEE, 2011), pp. 731–738.

Y. Yeh and H. Cummins, “Localized fluid flow measurements with an He–Ne laser spectrometer,” Appl. Phys. Lett. 4, 176–178 (1964).

[Crossref]

L. Miyashita, R. Yonezawa, Y. Watanabe, and M. Ishikawa, “3D Motion Sensing of Any Object Without Prior Knowledge,” ACM Trans. Graphic. 34, 218 (2015).

[Crossref]

E. Zhang, B. Chen, J. Sun, L. Yan, and S. Zhang, “Laser heterodyne interferometric system with following interference units for large X-Y-θ planar motion measurement,” Opt. Express 25, 13684–13690 (2017).

[Crossref]
[PubMed]

Y. Lou, L. Yan, B. Chen, and S. Zhang, “Laser homodyne straightness interferometer with simultaneous measurement of six degrees of freedom motion errors for precision linear stage metrology,” Opt. Express 25, 6805–6821 (2017).

[Crossref]
[PubMed]

A. H. Khawaja, Q. Huang, J. Li, and Z. Zhang, “Estimation of current and sag in overhead power transmission lines with optimized magnetic field sensor array placement,” IEEE Trans. Magnetics 53, 1–10 (2017).

[Crossref]

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision (Cambridge University, 2003).

S. Shrestha, F. Heide, W. Heidrich, and G. Wetzstein, “Computational Imaging with Multi-camera Time-of-flight Systems,” ACM Trans. Graphic 35, 33 (2016).

[Crossref]

L. Miyashita, R. Yonezawa, Y. Watanabe, and M. Ishikawa, “3D Motion Sensing of Any Object Without Prior Knowledge,” ACM Trans. Graphic. 34, 218 (2015).

[Crossref]

Y. Yeh and H. Cummins, “Localized fluid flow measurements with an He–Ne laser spectrometer,” Appl. Phys. Lett. 4, 176–178 (1964).

[Crossref]

B. K. Horn and B. G. Schunck, “Determining optical flow,” Artificial Intelligence 17, 185–203 (1981).

[Crossref]

A. H. Khawaja, Q. Huang, J. Li, and Z. Zhang, “Estimation of current and sag in overhead power transmission lines with optimized magnetic field sensor array placement,” IEEE Trans. Magnetics 53, 1–10 (2017).

[Crossref]

M. Calonder, V. Lepetit, M. Ozuysal, T. Trzcinski, C. Strecha, and P. Fua, “BRIEF: Computing a Local Binary Descriptor Very Fast,” IEEE Trans. PAMI. 34, 1281–1298 (2012).

[Crossref]

P. J. Besl and N. D. McKay, “A method for registration of 3-D shapes,” IEEE Trans. PAMI. 14, 239–256 (1992).

[Crossref]

V. Lepetit, F. Moreno-Noguer, and P. Fua, “EPnP: An Accurate O(n) Solution to the PnP Problem,” International Journal of Computer Vision 81, 155 (2008).

[Crossref]

F. Eberhardt and F. Andrews, “Laser heterodyne system for measurement and analysis of vibration,” J. Acoustical Soc. Am. 48, 603–609 (1970).

[Crossref]

W. K. George and J. L. Lumley, “The laser-Doppler velocimeter and its application to the measurement of turbulence,” J. Fluid Mechanics 60, 321–362 (1973).

[Crossref]

S. Rothberg and N. A. Halliwell, “Vibration measurements on rotating machinery using laser Doppler velocimetry,” J. Vibration Acoustics 116, 326–331 (1994).

[Crossref]

J. Vass, R. Šmíd, R. Randall, P. Sovka, C. Cristalli, and B. Torcianti, “Avoidance of speckle noise in laser vibrometry by the use of kurtosis ratio: Application to mechanical fault diagnostics,” Mechanical Sys. Signal Process. 22, 647–671 (2008).

[Crossref]

E. Zhang, B. Chen, J. Sun, L. Yan, and S. Zhang, “Laser heterodyne interferometric system with following interference units for large X-Y-θ planar motion measurement,” Opt. Express 25, 13684–13690 (2017).

[Crossref]
[PubMed]

C.-H. Cheng, C.-W. Lee, T.-W. Lin, and F.-Y. Lin, “Dual-frequency laser Doppler velocimeter for speckle noise reduction and coherence enhancement,” Opt. Express 20, 20255–20265 (2012).

[Crossref]
[PubMed]

S. Han, Y.-J. Kim, and S.-W. Kim, “Parallel determination of absolute distances to multiple targets by time-of-flight measurement using femtosecond light pulses,” Opt. Express 23, 25874–25882 (2015).

[Crossref]
[PubMed]

Y. Lou, L. Yan, B. Chen, and S. Zhang, “Laser homodyne straightness interferometer with simultaneous measurement of six degrees of freedom motion errors for precision linear stage metrology,” Opt. Express 25, 6805–6821 (2017).

[Crossref]
[PubMed]

F. Qibo, Z. Bin, C. Cunxing, K. Cuifang, Z. Yusheng, and Y. Fenglin, “Development of a simple system for simultaneously measuring 6DOF geometric motion errors of a linear guide,” Opt. Express 21, 25805–25819 (2013).

[Crossref]
[PubMed]

H.-L. Hsieh and S.-W. Pan, “Development of a grating-based interferometer for six-degree-of-freedom displacement and angle measurements,” Opt. Express 23, 2451–2465 (2015).

[Crossref]
[PubMed]

E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, “ORB: An efficient alternative to SIFT or SURF,” in 2011 International Conference on Computer Vision (IEEE, 2011), pp. 2564–2571.

[Crossref]

D. Forsyth and J. Ponce, Computer Vision: A Modern Approach (Prentice Hall, 2011).

N. J. Higham, Accuracy and Stability of Numerical Algorithms (SIAM, 2002).

[Crossref]

P. E. Gill, W. Murray, M. H. Wright, and et al., Numerical Linear Algebra and Optimization, vol. 1 (Addison-Wesley, 1991).

S. May, D. Droeschel, S. Fuchs, D. Holz, and A. Nüchter, “Robust 3D-mapping with time-of-flight cameras,” in 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IEEE, 2009), pp. 1673–1678.

[Crossref]

M. Ye, X. Wang, R. Yang, L. Ren, and M. Pollefeys, “Accurate 3D pose estimation from a single depth image,” in IEEE International Conference on Computer Vision (IEEE, 2011), pp. 731–738.

S. Rusinkiewicz and M. Levoy, “Efficient variants of the ICP algorithm,” in Proceedings of Third International Conference on 3-D Digital Imaging and Modeling (IEEE, 2001), pp. 145–152.

[Crossref]

D. Chetverikov, D. Svirko, D. Stepanov, and P. Krsek, “The Trimmed Iterative Closest Point algorithm,” in Object Recognition Supported by User Interaction for Service Robots, vol. 3 (IEEE, 2002), vol. 3, pp. 545–548.

[Crossref]

F. Heide, G. Wetzstein, M. Hullin, and W. Heidrich, “Doppler Time-of-flight Imaging,” in Proceedings of ACM SIGGRAPH 2015 Emerging Technologies (ACM, 2015), pp. 9.

B. Triggs, P. F. McLauchlan, R. I. Hartley, and A. W. Fitzgibbon, “Bundle Adjustment — A Modern Synthesis,” in Proceedings of International Workshop on Vision Algorithms (Springer, 1999), pp. 298–372.

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision (Cambridge University, 2003).

C. Forster, M. Pizzoli, and D. Scaramuzza, “SVO: Fast semi-direct monocular visual odometry,” in 2014 IEEE International Conference on Robotics and Automation (IEEE, 2014), pp. 15–22.

[Crossref]

J. Engel, T. Schöps, and D. Cremers, “LSD-SLAM: Large-Scale Direct Monocular SLAM,” in Computer Vision – ECCV 2014 (Springer, 2014), pp. 834–849.

G. Adiv, “Determining three-dimensional motion and structure from optical flow generated by several moving objects,” IEEE Trans. PAMI. pp. 384–401 (1985).

[Crossref]