4D reconstruction

In computer vision and computer graphics, 4D reconstruction is the process of capturing the shape and appearance of real objects along a temporal dimension.[1][2][3][4] This process can be accomplished by methods such as depth camera imaging,[1] photometric stereo, or structure from motion,[5] and is also referred to as spatio-temporal reconstruction.[4]

## Contents

* 1 4D Gaussian splatting
* 2 See also
* 3 References
* 4 External links

## 4D Gaussian splatting

This section is an excerpt from Gaussian splatting § 4D Gaussian Splatting[ edit ]

## See also

* 3D reconstruction
* Free viewpoint television
* Structure from motion
* Volumetric video

## References

1. ↑ 1.0 1.1 Dou, Mingsong, et al. "Fusion4d: Real-time performance capture of challenging scenes." ACM Transactions on Graphics (TOG) 35.4 (2016): 1-13.
2. ↑ Mustafa, Armin, et al. "Temporally coherent 4d reconstruction of complex dynamic scenes." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016.
3. ↑ Oswald, Martin Ralf, Jan Stühmer, and Daniel Cremers. "Generalized connectivity constraints for spatio-temporal 3d reconstruction." European Conference on Computer Vision. Springer, Cham, 2014.
4. ↑ 4.0 4.1 Dong, Jing, et al. "4D crop monitoring: Spatio-temporal reconstruction for agriculture." 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2017.
5. ↑ Kyriakaki, Georgia, et al. "4D reconstruction of tangible cultural heritage objects from web-retrieved images." International Journal of Heritage in the Digital Era 3.2 (2014): 431-451.

## External links

* c-Space: 4D Reconstruction from pictures and videos

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Computer vision

Categories|

* Datasets
* Digital geometry
* Commercial systems
* Feature detection
* Geometry
* Image sensor technology
* Learning
* Morphology
* Motion analysis
* Noise reduction techniques
* Recognition and categorization
* Research infrastructure
* Researchers
* Segmentation
* Software

Technologies|

* Computer stereo vision
* 3D reconstruction
* 3D reconstruction from multiple images
* Free viewpoint television
* Structure from motion
* Visual hull
* Motion capture

Applications|

* Augmented reality
* Autonomous vehicles
* Face recognition
* Image search
* Optical character recognition
* Remote sensing
* Robots

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