mlsanityData to 7 Oct 2026

A Comprehensive Overview of Fish-Eye Camera Distortion Correction Methods

arXiv 2401.00442 ↗First posted 31 Dec 2023cs.CVcited by 3

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Abstract (arXiv)

The fisheye camera, with its unique wide field of view and other characteristics, has found extensive applications in various fields. However, the fisheye camera suffers from significant distortion compared to pinhole cameras, resulting in distorted images of captured objects. Fish-eye camera distortion is a common issue in digital image processing, requiring effective correction techniques to enhance image quality. This review provides a comprehensive overview of various methods used for fish-eye camera distortion correction. The article explores the polynomial distortion model, which utilizes polynomial functions to model and correct radial distortions. Additionally, alternative approaches such as panorama mapping, grid mapping, direct methods, and deep learning-based methods are discussed. The review highlights the advantages, limitations, and recent advancements of each method, enabling readers to make informed decisions based on their specific needs.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 14 of its 60 references that are in the map. First posted on arXiv 31 Dec 2023.

Builds on

14 of 60 references.

References · 14

  1. 2014Deep Learning Face Attributes in the Wildcited by 3,679
  2. 2016Semantic Understanding of Scenes through the ADE20K Datasetcited by 1,063
  3. 2022ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyondcited by 117
  4. 2020Learning to Parse Wireframes in Images of Man-Made Environmentscited by 71
  5. 2021Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flowcited by 23
  6. 2020Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motioncited by 20
  7. 2017DeepCorrect: Correcting DNN models against Image Distortionscited by 14
  8. 2023SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation Learningcited by 13
  9. 2021Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortioncited by 6
  10. 2020Fisheye Distortion Rectification from Deep Straight Linescited by 5
  11. 2020SIR: Self-supervised Image Rectification via Seeing the Same Scene from Multiple Different Lensescited by 3
  12. 2022Woodscape Fisheye Object Detection for Autonomous Driving -- CVPR 2022 OmniCV Workshop Challengecited by 2
2 more
  1. 2023Spatiotemporal Deformation Perception for Fisheye Video Rectificationcited by 2
  2. 2023A Stronger Stitching Algorithm for Fisheye Images based on Deblurring and Registrationcited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.