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.

Feature	123D Catch	openMVG
Overall Score	N/A	N/A
Primary Category	Photos & Graphics	Ai Tools & Services

Product Overview

123D Catch

Description: 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.

openMVG

Description: 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.

Key Features Comparison

123D Catch Features

• 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

openMVG Features

• 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

Pros & Cons Analysis

123D Catch

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

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

Pricing Comparison

123D Catch

• Free

openMVG

• Open Source