123D Catch vs openMVG

Struggling to choose between 123D Catch and openMVG? Both products offer unique advantages, making it a tough decision.

123D Catch is a Photos & Graphics solution with tags like photogrammetry, 3d-scanning, 3d-models, photos.

It boasts features such as Creates 3D models from photographs, Analyzes multiple photos taken from different angles, Uses photogrammetry algorithms to calculate 3D geometry, Can capture both small objects and entire scenes, Supports many file formats for input and output and pros including Free to use, Easy to learn and use, Produces high quality 3D models, Works on Windows and Mac, Large online community for support.

On the other hand, openMVG is a Ai Tools & Services product tagged with 3d-reconstruction, structure-from-motion, photogrammetry, open-source.

Its standout features include Structure from Motion (SfM) pipeline, Incremental reconstruction, Localization, Features extraction (SIFT, AKAZE, etc), Features matching, Robust camera pose estimation, Multiple camera models support, Bundle adjustment optimization, Depth map estimation, Point cloud generation, and it shines with pros like Open source and free, Modular architecture, Support for multiple languages (C++, Python), Active development community, Good documentation.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

123D Catch

123D Catch

123D Catch is a free software that creates 3D models from photographs. It works by analyzing multiple photos of an object or scene taken from different angles, and uses photogrammetry algorithms to calculate 3D geometry.

Categories:
photogrammetry 3d-scanning 3d-models photos

123D Catch Features

  1. Creates 3D models from photographs
  2. Analyzes multiple photos taken from different angles
  3. Uses photogrammetry algorithms to calculate 3D geometry
  4. Can capture both small objects and entire scenes
  5. Supports many file formats for input and output

Pricing

  • Free

Pros

Free to use

Easy to learn and use

Produces high quality 3D models

Works on Windows and Mac

Large online community for support

Cons

Requires a large number of high quality photos

Can be computationally intensive

Output models may need cleanup in 3D software

Limited compared to full photogrammetry software


openMVG

openMVG

openMVG is an open-source structure from motion library used to reconstruct 3D scenes from images. It features SfM pipelines, features extraction and matching algorithms, and verbosity control.

Categories:
3d-reconstruction structure-from-motion photogrammetry open-source

OpenMVG Features

  1. Structure from Motion (SfM) pipeline
  2. Incremental reconstruction
  3. Localization
  4. Features extraction (SIFT, AKAZE, etc)
  5. Features matching
  6. Robust camera pose estimation
  7. Multiple camera models support
  8. Bundle adjustment optimization
  9. Depth map estimation
  10. Point cloud generation

Pricing

  • Open Source

Pros

Open source and free

Modular architecture

Support for multiple languages (C++, Python)

Active development community

Good documentation

Cons

Steep learning curve

Limited user-friendly interfaces

Slower than some commercial solutions

Lacks some advanced features like semantic reconstruction