text: // Copyright (c) 2011 libmv authors.
  //
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  // sell copies of the Software, and to permit persons to whom the Software is
  // furnished to do so, subject to the following conditions:
  //
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  // all copies or substantial portions of the Software.
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  // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  // FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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  // IN THE SOFTWARE.
  
  #ifndef LIBMV_SIMPLE_PIPELINE_PIPELINE_H_
  #define LIBMV_SIMPLE_PIPELINE_PIPELINE_H_
  
  #include "libmv/simple_pipeline/tracks.h"
  #include "libmv/simple_pipeline/reconstruction.h"
  
  namespace libmv {
  
  /*!
      Estimate camera poses and scene 3D coordinates for all frames and tracks.
  
      This method should be used once there is an initial reconstruction in
      place, for example by reconstructing from two frames that have a sufficient
      baseline and number of tracks in common. This function iteratively
      triangulates points that are visible by cameras that have their pose
      estimated, then resections (i.e. estimates the pose) of cameras that are
      not estimated yet that can see triangulated points. This process is
      repeated until all points and cameras are estimated. Periodically, bundle
      adjustment is run to ensure a quality reconstruction.
  
      \a tracks should contain markers used in the reconstruction.
      \a reconstruction should contain at least some 3D points or some estimated
      cameras. The minimum number of cameras is two (with no 3D points) and the
      minimum number of 3D points (with no estimated cameras) is 5.
  
      \sa EuclideanResect, EuclideanIntersect, EuclideanBundle
  */
  void EuclideanCompleteReconstruction(const Tracks &tracks,
                                       EuclideanReconstruction *reconstruction);
  
  /*!
      Estimate camera matrices and homogeneous 3D coordinates for all frames and
      tracks.
  
      This method should be used once there is an initial reconstruction in
      place, for example by reconstructing from two frames that have a sufficient
      baseline and number of tracks in common. This function iteratively
      triangulates points that are visible by cameras that have their pose
      estimated, then resections (i.e. estimates the pose) of cameras that are
      not estimated yet that can see triangulated points. This process is
      repeated until all points and cameras are estimated. Periodically, bundle
      adjustment is run to ensure a quality reconstruction.
  
      \a tracks should contain markers used in the reconstruction.
      \a reconstruction should contain at least some 3D points or some estimated
      cameras. The minimum number of cameras is two (with no 3D points) and the
      minimum number of 3D points (with no estimated cameras) is 5.
  
      \sa ProjectiveResect, ProjectiveIntersect, ProjectiveBundle
  */
  void ProjectiveCompleteReconstruction(const Tracks &tracks,
                                        ProjectiveReconstruction *reconstruction);
  
  
  class CameraIntrinsics;
  
  // TODO(keir): Decide if we want these in the public API, and if so, what the
  // appropriate include file is.
  
  double EuclideanReprojectionError(const Tracks &image_tracks,
                                    const EuclideanReconstruction &reconstruction,
                                    const CameraIntrinsics &intrinsics);
  
  double ProjectiveReprojectionError(
      const Tracks &image_tracks,
      const ProjectiveReconstruction &reconstruction,
      const CameraIntrinsics &intrinsics);
  
  void InvertIntrinsicsForTracks(const Tracks &raw_tracks,
                                 const CameraIntrinsics &camera_intrinsics,
                                 Tracks *calibrated_tracks);
  
  }  // namespace libmv
  
  #endif  // LIBMV_SIMPLE_PIPELINE_PIPELINE_H_
  