Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Gauss's Law: Spherical Symmetry01:26

Gauss's Law: Spherical Symmetry

7.2K
A charge distribution has spherical symmetry if the density of charge depends only on the distance from a point in space and not on the direction. In other words, if the system is rotated, it doesn't look different. For instance, if a sphere of radius R is uniformly charged with charge density ρ0, then the distribution has spherical symmetry. On the other hand, if a sphere of radius R is charged so that the top half of the sphere has a uniform charge density ρ1 and the bottom half...
7.2K
Gauss's Law: Planar Symmetry01:27

Gauss's Law: Planar Symmetry

7.7K
A planar symmetry of charge density is obtained when charges are uniformly spread over a large flat surface. In planar symmetry, all points in a plane parallel to the plane of charge are identical with respect to the charges. Suppose the plane of the charge distribution is the xy-plane, and the electric field at a space point P with coordinates (x, y, z) is to be determined. Since the charge density is the same at all (x, y) - coordinates in the z = 0 plane, by symmetry, the electric field at P...
7.7K
Gauss's Law: Cylindrical Symmetry01:20

Gauss's Law: Cylindrical Symmetry

7.3K
A charge distribution has cylindrical symmetry if the charge density depends only upon the distance from the axis of the cylinder and does not vary along the axis or with the direction about the axis. In other words, if a system varies if it is rotated around the axis or shifted along the axis, it does not have cylindrical symmetry. In real systems, we do not have infinite cylinders; however, if the cylindrical object is considerably longer than the radius from it that we are interested in,...
7.3K
Space-Time Curvature and the General Theory of Relativity01:17

Space-Time Curvature and the General Theory of Relativity

2.6K
In 1905, Albert Einstein published his special theory of relativity. According to this theory, no matter in the universe can attain a speed greater than the speed of light in a vacuum, which thus serves as the speed limit of the universe.
This has been verified in many experiments. However, space and time are no longer absolute. Two observers moving relative to one another do not agree on the length of objects or the passage of time. The mechanics of objects based on Newton's laws of...
2.6K
Spherical Coordinates01:23

Spherical Coordinates

9.8K
Spherical coordinate systems are preferred over Cartesian, polar, or cylindrical coordinates for systems with spherical symmetry. For example, to describe the surface of a sphere, Cartesian coordinates require all three coordinates. On the other hand, the spherical coordinate system requires only one parameter: the sphere's radius. As a result, the complicated mathematical calculations become simple. Spherical coordinates are used in science and engineering applications like electric and...
9.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Varying image assessment of pecking injuries in Turkeys while performing repetitions.

Veterinary research communications·2025
Same author

When Two Eyes Don't Suffice-Learning Difficult Hyperfluorescence Segmentations in Retinal Fundus Autofluorescence Images via Ensemble Learning.

Journal of imaging·2024
Same author

Mind the Exit Pupil Gap: Revisiting the Intrinsics of a Standard Plenoptic Camera.

Sensors (Basel, Switzerland)·2024
Same author

Keypoint Detection for Injury Identification during Turkey Husbandry Using Neural Networks.

Sensors (Basel, Switzerland)·2022
Same author

Chronological Registration of OCT and Autofluorescence Findings in CSCR: Two Distinct Patterns in Disease Course.

Diagnostics (Basel, Switzerland)·2022
Same author

Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy.

Sensors (Basel, Switzerland)·2021
Same journal

Human-AI Interaction in Interventional Radiology: A Narrative Review of Current Applications, Challenges, and Future Directions.

Journal of imaging·2026
Same journal

Coronary Artery Anomalies and Anatomical Variants: Cross-Sectional Diagnostic Imaging and Clinical Background.

Journal of imaging·2026
Same journal

YoLeTooth: A Unified Framework for Joint Tooth Segmentation and Periapical Lesion Detection in Panoramic Radiographs.

Journal of imaging·2026
Same journal

Radiomics-Guided Multi-Sequence Learning for Pathological Complete Response Prediction from Breast MRI with Missing Auxiliary Sequences.

Journal of imaging·2026
Same journal

Cutaneous Thermography in Arthropathies: Quantitative Imaging, Machine Learning, and Clinical Translation.

Journal of imaging·2026
Same journal

Two-Stage Dynamic Synergistic Segmentation Method for Myocardial Pathology.

Journal of imaging·2026
See all related articles
  1. Home
  3. Arbitrary Optics For Gaussian Splatting Using Space Warping.
  1. Home
  3. Arbitrary Optics For Gaussian Splatting Using Space Warping.

Related Experiment Video

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
12:14

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

Published on: August 12, 2013

21.6K

Arbitrary Optics for Gaussian Splatting Using Space Warping.

Jakob Nazarenus1, Simin Kou2, Fang-Lue Zhang2

  • 1Department of Computer Science, Kiel University, 24118 Kiel, Germany.

Journal of Imaging
|December 27, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

This study extends 3D Gaussian splatting for realistic scene reconstruction using arbitrary camera lenses, not just pinhole models. The enhanced method accurately reconstructs scenes from distorted images, improving 3D Gaussian splatting capabilities.

Keywords:
3D Gaussian Splatting3D reconstructioncamera modelsnovel view synthesis

More Related Videos

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

9.5K
Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
08:39

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

9.7K

Related Experiment Videos

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
12:14

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

Published on: August 12, 2013

21.6K
Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

9.5K
Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
08:39

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

9.7K

Area of Science:

  • Computer Vision
  • Computer Graphics
  • 3D Reconstruction

Background:

  • Recent advances enable rapid, real-time 3D scene reconstruction from RGB images.
  • 3D Gaussian splatting offers superior performance and reduced computational cost compared to prior methods.
  • Current 3D Gaussian splatting relies on a restrictive pinhole camera model.

Purpose of the Study:

  • To extend 3D Gaussian splatting to support arbitrary camera optics, including fisheye lenses.
  • To improve the accuracy and robustness of 3D scene reconstruction from highly distorted images.
  • To reduce artifacts in outdoor scene reconstructions.

Main Methods:

  • Introduced a differentiable warping function to adapt the Gaussian scene representation for non-pinhole cameras.
  • Implemented a learnable skybox to mitigate overfitting and floating artifacts in outdoor environments.
  • Validated the approach using both synthetic and real-world image datasets.

    • Main Results:

    • Successfully reconstructed accurate 3D scenes from images captured with highly distorting camera lenses.
    • Demonstrated the ability to render photorealistic images from these non-standard reconstructions.
    • Showcased reduced artifacts in outdoor scene reconstructions due to the learnable skybox.

    Conclusions:

    • The proposed extension effectively removes the pinhole camera constraint in 3D Gaussian splatting.
    • The method enables high-fidelity 3D reconstruction and rendering with arbitrary camera models.
    • This work broadens the applicability of 3D Gaussian splatting for diverse real-world scenarios.