Open source software that transforms aerial videos and images into Geospatial 3D models
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Welcome to TeleSculptor

TeleSculptor is an open source, cross-platform desktop application for photogrammetry. It was designed specifically with a focus on aerial video processing leveraging video metadata standards (MISB 0601) for geolocation, but it can handle both images and video either with or without metadata. TeleSculptor uses structure-from-motion techniques to estimate camera parameters and a sparse set of 3D landmarks. TeleSculptor estimates dense depth maps on key frames using multiview stereo techniques. It then fuses those depth maps into a consistent surface mesh, which can be colored from the source imagery.

TeleSculptor’s flexible plugin architecture allows developers to reconfigure or swap out any algorithm in the pipeline for custom implementations. It is both an end-user application and a research platform.

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Latest News

CVPR 2025

Kitware is proud to participate in the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), one of the premier conferences for cutting-edge research in computer vision and machine learning. This year, Kitware’s leadership in the community is reflected through key service roles that help shape the conference itself.

We’re also contributing original research and sharing practical tools that support real-world AI development. As always, our commitment to open science and collaborative innovation will be on full display at our booth (visit us at Booth 1617!) and in our technical sessions.

GEOINT Symposium 2025

At the USGIF GEOINT Symposium 2025, the world’s premier geospatial intelligence event, Kitware is proud to showcase our latest innovations in AI, computer vision, and interactive visualization that support national security and global awareness. This year’s theme—Building a Secure Tomorrow Together—aligns perfectly with our mission to empower decision-makers through open science and cutting-edge technology.

TeleSculptor 1.2 Released

We are please to announce the release of TeleSculptor version 1.2.0. TeleSculptor is a cross-platform (Windows, Linux, Mac), open source desktop application for photogrammetry. It was designed with a focus on aerial video, such as video collected from UAVs. The software takes an aerial video observing a target location and builds a 3D model of that location. […]

Learn More About TeleSculptor

Interested in learning more about Telesculptor? View the Telesculptor-related workshops and publications that feature Telesculptor work below.

Workshops, Talks, and Presentations
3D reconstruction from Overhead Imagery Using Open Source SoftwareUSGIF GEOConnect Series TrainingJune 23, 2020
Open source structure-from-motionConference on Computer Vision and Pattern Recognition (CVPR) TutorialJune 16, 2015
Publications
  1. M. Leotta, E. Smith, and D. Russell, "TeleSculptor: Dense 3D Models from Uncalibrated FMV," in Proceedings of the MSS National Symposium on Passive Sensors, 2018.
  2. M. Leotta, E. Smith, M. Dawkins, and P. Tunison, "Open source structure-from-motion for aerial video," in Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2016. [URL]
  3. M. Leotta, P. Tunison, E. Smith, and M. Dawkins, "MAP-Tk: Motion imagery Aerial Photogrammetry Toolkit," in Proceedings of the MSS National Symposium on Passive Sensors, 2015.
  4. K. Fieldhouse, M. Leotta, A. Basharat, R. Blue, D. Stoup, C. Atkins, L. Sherrill, B. Boeckel, P. Tunison, J. Becker, M. Dawkins, M. Woehlke, R. Collins, M. Turek, and A. Hoogs, "KWIVER: An open source cross-platform video exploitation framework," in Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2014. [URL]

Bibliography generated 2022-06-01-11:03:39 (5029)

About Kitware

Founded in 1998, Kitware is a global leader in developing advanced state-of-the-art AI and scientific research and development solutions. As early adopters of deep learning, this plays an essential role in everything we do. We are dedicated to researching and creating innovative techniques and technologies valuable to the computer vision community and our customers.

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