Awesome-Image-Registration-Organization/awesome-image-registration

image registration related books, papers, videos, and toolboxes

What it solves

Image registration is the process of aligning different sets of data—such as photographs, medical scans, or satellite imagery—into a single coordinate system. This is essential for comparing or integrating data captured from different sensors, times, depths, or viewpoints.

How it works

This project provides a comprehensive, curated repository of resources for researchers and practitioners. It organizes thousands of academic papers, datasets, toolboxes, and learning materials (such as books and tutorials) into a structured list. The repository is frequently updated to include the latest research from major conferences and journals, and it links to a dedicated tracker for ongoing paper updates.

Who it’s for

It is designed for students, researchers, and engineers working in fields like computer vision, medical imaging, military target recognition, and remote sensing who need a centralized, up-to-date source for literature and tools related to image alignment and matching.

Highlights

  • Extensive Archive: A collection spanning over 50 years of research, from 1972 to the present.
  • Categorized Resources: Includes papers, datasets, competitions, software toolboxes, and educational materials.
  • Active Maintenance: Regularly updated with new papers from top-tier venues like CVPR, ICCV, and MICCAI.
  • Community Support: Offers access to dedicated communication groups for networking and knowledge sharing among peers.
  • Searchable Metadata: Papers are tagged with keywords (e.g., medical, remote sensing, point cloud, deep learning) to help users find relevant research quickly.

Related

  • Project
    datalab-to/indra

    Indra OCR is a 1 M‑parameter, CPU‑only OCR model that converts PDFs and images to markdown, plain text, or JSON with detailed layout boxes. It processes up to 49 pages / s (≈230 ms per page) and scores 62.1 on the OmniParseBench benchmark, outperforming Tesseract and PaddleOCR in speed and many accuracy metrics. The package provides a CLI, a Python API, and a local web viewer, and supports Latin, Cyrillic, Greek, Devanagari, Bengali, and Chinese OCR, plus any script via PDF text layers. Optional `--math` flag adds LaTeX‑style math extraction. The model is ~18 MB ONNX, licensed under a modified OpenRAIL‑M (free for research/startups), with code under Apache 2.0.

  • Project
    pur1fying/blue_archive_auto_script

    An automation script for Blue Archive that uses YOLOv8 for character detection to automate combat, daily tasks, and resource management.

  • Project
    ace-trump-tech/DeltaForce-OBS-Locker

    A real-time object detection and target locking system for Delta Force using YOLOv14 to identify game characters while filtering out environmental false positives.

  • Project
    NVlabs/Fast-FoundationStereo

    A family of real-time stereo matching architectures that achieve strong zero-shot generalization by using knowledge distillation, neural architecture search, and structured pruning.