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Everything about Image rectification
Transformation process to project images
Image rectification is a transformation process used to project images onto a common image plane. This process has several degrees of freedom and there are many strategies for transforming images to the common plane. Image rectification is used in computer stereo vision to simplify the problem of finding matching points between images, and in geographic information systems (GIS) to merge images taken from multiple perspectives into a common map coordinate system. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Image rectificationA 5-minute orientation
- Skim a recent paper: Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesisInfluential work since 2022
- Pick up a classic book: Landsat-4 science characterization early resultsThe most-reprinted book on the subject
- Read the landmark paper: Epipolar line estimation and rectification for stereo image pairsCited 121 times
- Go sideways: Computer stereo visionA closely related topic
- Go sideways: Fundamental matrix (computer vision)A closely related topic
📖 Definitions
Noun The transformation of multiple images onto a common coordinate system
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Epipolar line estimation and rectification for stereo image pairs
An efficient image rectification method for parallel multi-camera arrangement
A Landsat digital image rectification system
Wide-Angle Image Rectification: A Survey
Deep Unrestricted Document Image Rectification
Use of the Rational Function Model for Image Rectification
A new image rectification algorithm
Multiview image rectification algorithm for parallel camera arrays
🆕 Influential since 2022
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis
Query Adaptive Transformer and Multiprototype Rectification for Few-Shot Remote Sensing Image Segmentation
Accurate Head Pose Estimation Using Image Rectification and a Lightweight Convolutional Neural Network
SIR: Self-Supervised Image Rectification via Seeing the Same Scene From Multiple Different Lenses
Vehicle Speed Estimation Using Consecutive Frame Approaches and Deep Image Homography for Image Rectification on Monocular Videos
📚 Books worth reading
- 📕Landsat-4 science characterization early resultsLandsat-4 Science Characterization Early Results Symposium (1983 Greenbelt, Md.) · 1985
- 📕Landsat-D investigations in snow hydrologyJeff Dozier · 1983
- 📕Landsat-D program · 1984
- 📕Landsat-D program · 1984
- 📕An integrated software system for geometric correction of Landsat MSS imagery · 1984
- 📕Comparative assessment of LANDSAT-D MSS and TM data quality for mapping applications in the southeastRoy Welch · 1984
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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