3DVista Stitcher vs OpenPano
3DVista Stitcher
3dvista.comOpenPano
github.comSide by side
| Figure | 3DVista Stitcher | OpenPano |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | — | Yes |
| Plans published | 2 | 1 |
| Spec score · Panorama Stitching Software | 8.0 (#7) | 7.6 (#13) |
| Purpose | 3DVista 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
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.
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.