Skip to content
SPECIFICTION
Get listed

3DVista Stitcher vs OpenPano

3DVista Stitcher

3dvista.com

OpenPano

github.com

Side by side

Figure3DVista StitcherOpenPano
Price from—Free
Free plan—Yes
Free trialYes—
Open source——
WindowsYesYes
macOSYesYes
Linux—Yes
Plans published21
Spec score · Panorama Stitching Software8.0 (#7)7.6 (#13)
Purpose3DVista Stitcher 4 converts sets of pictures into panoramas through a guided one-click workflow.OpenPano is a C++ program for automatic panorama stitching, written from scratch without computer vision libraries.

Plans

3DVista Stitcher

  • 3DVista Stitcher 4€99, paid once
  • Virtual Tour Pro499,499 USD/EUR, paid once

3DVista Stitcher pricing →

OpenPano

  • OpenPano (MIT-licensed software)Free

OpenPano pricing →

In their own words

3DVista Stitcher

3DVista Stitcher 4 turns groups of photographs into panoramas through a guided, one-click workflow. It accepts standard, wide-angle, fisheye, and one-shot lenses and most popular camera types. Outputs can be full or partial panoramas in cubic, spherical, or small-planet forms, with 18 projection types including equirectangular, rectilinear, cylindrical, and small-planet. Automatic control-point detection helps align images, and you can add, move, change, or delete those points. One-click standard HDR and Adaptive HDR stitching are included, as is batch stitching for multiple panoramas. Stitcher can process 3DVista Live Panoramas and Adaptive HDR Panoramas; publishing those as immersive virtual tours requires Virtual Tour Pro. The software runs on macOS and Windows, supports HDR blending and control-point editing, and does not support RAW input. A free trial is available.

Visit 3dvista.com

OpenPano

OpenPano is a free C++ program for automatic panorama stitching, written from scratch without computer vision libraries. It offers cylinder, camera estimation, and translation modes, each with requirements for image capture or ordering. Its listed techniques include SIFT features, RANSAC-based homography or affine transformations, focal estimation, bundle adjustment, and straightening. The program supports Linux, macOS, and Windows. Build instructions use CMake and make for Linux, macOS, and WSL, and describe a Visual Studio 2015 process for Windows. Eigen and FLANN are build dependencies; libjpeg and CImg are optional image input/output components. The README recommends manually downscaling images of four megapixels or more to save time. Wide-angle images with heavy distortion may not work well unless camera parameters are used to undistort them. Memory use can be large with the default libc allocator; LAZY_READ can reduce it with a minor slowdown. The repository includes an MIT License, which permits use and distribution subject to its conditions and provides the software without warranty.

Visit github.com