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Ceres Solver
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1.13
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Why?
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On Derivatives
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Modeling Non-linear Least Squares
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Solving Non-linear Least Squares
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Users
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Users
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UsersΒΆ
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At Google, Ceres is used to:
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Estimate the pose of Street View cars, aircrafts, and satellites.
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Build 3D models for PhotoTours.
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Estimate satellite image sensor characteristics.
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Stitch panoramas on Android and iOS.
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Apply Lens Blur on Android.
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Solve bundle adjustment and SLAM problems in Project
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Tango.
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Willow Garage uses Ceres to solve SLAM problems.
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Southwest Research Institute uses Ceres for
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calibrating robot-camera systems.
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Blender uses Ceres for planar
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tracking and bundle adjustment.
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OpenMVG an open source
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multi-view geometry library uses Ceres for bundle adjustment.
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Microsoft Research uses
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Ceres for nonlinear optimization of objectives involving subdivision
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surfaces under skinned control meshes.
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Matterport, uses Ceres for global
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alignment of 3D point clouds and for pose graph optimization.
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Obvious Engineering uses Ceres for
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bundle adjustment for their 3D photography app Seene.
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The Autonomous Systems Lab at ETH
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Zurich uses Ceres for
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Camera and Camera/IMU Calibration.
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Large scale optimization of visual, inertial, gps and
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wheel-odometry data for long term autonomy.
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OpenPTrack uses Ceres for camera
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calibration.
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The Intelligent Autonomous System Lab
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at University of Padova, Italy, uses Ceres for
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Camera/depth sensors network calibration.
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Depth sensor distortion map estimation.
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Theia is an open source
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Structure from Motion library that uses Ceres for bundle adjustment
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and camera pose estimation.
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The Applied Research Laboratory at
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Pennsylvania State University uses in their synthetic aperture Sonar
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beamforming engine, called ASASIN , for estimating platform
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kinematics.
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Colmap is a an open source
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structure from motion library that makes heavy use of Ceres for
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bundle adjustment with support for many camera models and for other
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non-linear least-squares problems (relative, absolute pose
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refinement, etc.).
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© Copyright 2016 Google Inc.
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