Users

• At Google, Ceres is used to:

  • Estimate the pose of Street View cars, aircrafts, and satellites.

  • Build 3D models for PhotoTours.

  • Estimate satellite image sensor characteristics.

  • Stitch panoramas on Android and iOS.

  • Apply Lens Blur on Android.

  • Solve bundle adjustment and SLAM problems in Project Tango.

• Willow Garage uses Ceres to solve SLAM problems.

• Southwest Research Institute uses Ceres for calibrating robot-camera systems.

• Blender uses Ceres for planar tracking and bundle adjustment.

• OpenMVG an open source multi-view geometry library uses Ceres for bundle adjustment.

• Microsoft Research uses Ceres for nonlinear optimization of objectives involving subdivision surfaces under skinned control meshes.

• Matterport, uses Ceres for global alignment of 3D point clouds and for pose graph optimization.

• Obvious Engineering uses Ceres for bundle adjustment for their 3D photography app Seene.

• The Autonomous Systems Lab at ETH Zurich uses Ceres for

  • Camera and Camera/IMU Calibration.

  • Large scale optimization of visual, inertial, gps and wheel-odometry data for long term autonomy.

• OpenPTrack uses Ceres for camera calibration.

• The Intelligent Autonomous System Lab at University of Padova, Italy, uses Ceres for

  • Camera/depth sensors network calibration.

  • Depth sensor distortion map estimation.

• Theia is an open source Structure from Motion library that uses Ceres for bundle adjustment and camera pose estimation.

• The Applied Research Laboratory at Pennsylvania State University uses in their synthetic aperture Sonar beamforming engine, called ASASIN , for estimating platform kinematics.

• Colmap is an open source structure from motion library that makes heavy use of Ceres for bundle adjustment with support for many camera models and for other non-linear least-squares problems (relative, absolute pose refinement, etc.).