libmv/simple_pipeline/camera_intrinsics.h

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// Copyright (c) 2011 libmv authors.
//
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// of this software and associated documentation files (the "Software"), to
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// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
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// 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_CAMERA_INTRINSICS_H_
#define LIBMV_SIMPLE_PIPELINE_CAMERA_INTRINSICS_H_
 
#include <iostream>
#include <string>
 
#include <Eigen/Core>
 
#include "libmv/numeric/numeric.h"
#include "libmv/simple_pipeline/distortion_models.h"
 
namespace libmv {
 
class CameraIntrinsics;
class PackedIntrinsics;
 
namespace internal {
 
// This class is responsible to store a lookup grid to perform
// image warping using this lookup grid. Such a magic is needed
// to make (un)distortion as fast as possible in cases multiple
// images are to be processed.
class LookupWarpGrid {
 public:
  LookupWarpGrid();
  LookupWarpGrid(const LookupWarpGrid& from);
  ~LookupWarpGrid();
 
  // Width and height og the image, measured in pixels.
  int width() const { return width_; }
  int height() const { return height_; }
 
  // Overscan factor of the image, so that
  // - 0.0 is overscan of 0 pixels,
  // - 1.0 is overscan of image weight pixels in horizontal direction
  //   and image height pixels in vertical direction.
  double overscan() const { return overscan_; }
 
  // Update lookup grid in order to be sure it's calculated for
  // given image width, height and overscan.
  //
  // See comment for CameraIntrinsics::DistortBuffer to get more
  // details about what overscan is.
  template <typename WarpFunction>
  void Update(const CameraIntrinsics& intrinsics,
              int width,
              int height,
              double overscan);
 
  // Apply coordinate lookup grid on a giver input buffer.
  //
  // See comment for CameraIntrinsics::DistortBuffer to get more
  // details about template type.
  template <typename PixelType>
  void Apply(const PixelType* input_buffer,
             int width,
             int height,
             int channels,
             PixelType* output_buffer);
 
  // Reset lookup grids.
  // This will tag the grid for update without re-computing it.
  void Reset();
 
 private:
  // This structure contains an offset in both x,y directions
  // in an optimized way sawing some bytes per pixel in the memory.
  //
  // TODO(sergey): This is rather questionable optimizations, memory
  // is cheap nowadays and storing offset in such a way implies much
  // more operations comparing to using bare floats.
  struct Offset {
    // Integer part of the offset.
    short ix, iy;
 
    // Float part of an offset, to get a real float value divide this
    // value by 255.
    unsigned char fx, fy;
  };
 
  // Compute coordinate lookup grid using a giver warp functor.
  //
  // width and height corresponds to a size of buffer which will
  // be warped later.
  template <typename WarpFunction>
  void Compute(const CameraIntrinsics& intrinsics,
               int width,
               int height,
               double overscan);
 
  // This is a buffer which contains per-pixel offset of the
  // pixels from input buffer to correspond the warping function.
  Offset* offset_;
 
  // Dimensions of the image this lookup grid processes.
  int width_, height_;
 
  // Overscan of the image being processed by this grid.
  double overscan_;
};
 
}  // namespace internal
 
class CameraIntrinsics {
 public:
  CameraIntrinsics();
  CameraIntrinsics(const CameraIntrinsics& from);
  virtual ~CameraIntrinsics() {}
 
  virtual DistortionModelType GetDistortionModelType() const = 0;
 
  int image_width() const { return image_width_; }
  int image_height() const { return image_height_; }
 
  const Mat3& K() const { return K_; }
 
  double focal_length() const { return K_(0, 0); }
  double focal_length_x() const { return K_(0, 0); }
  double focal_length_y() const { return K_(1, 1); }
 
  double principal_point_x() const { return K_(0, 2); }
  double principal_point_y() const { return K_(1, 2); }
 
  // Set the image size in pixels.
  // Image is the size of image camera intrinsics were calibrated with.
  void SetImageSize(int width, int height);
 
  // Set the entire calibration matrix at once.
  void SetK(const Mat3 new_k);
 
  // Set both x and y focal length in pixels.
  void SetFocalLength(double focal_x, double focal_y);
 
  // Set principal point in pixels.
  void SetPrincipalPoint(double cx, double cy);
 
  // Convert image space coordinates to normalized.
  void ImageSpaceToNormalized(double image_x,
                              double image_y,
                              double* normalized_x,
                              double* normalized_y) const;
 
  // Convert normalized coordinates to image space.
  void NormalizedToImageSpace(double normalized_x,
                              double normalized_y,
                              double* image_x,
                              double* image_y) const;
 
  // Apply camera intrinsics to the normalized point to get image coordinates.
  //
  // This applies the lens distortion to a point which is in normalized
  // camera coordinates (i.e. the principal point is at (0, 0)) to get image
  // coordinates in pixels.
  virtual void ApplyIntrinsics(double normalized_x,
                               double normalized_y,
                               double* image_x,
                               double* image_y) const = 0;
 
  // Invert camera intrinsics on the image point to get normalized coordinates.
  //
  // This reverses the effect of lens distortion on a point which is in image
  // coordinates to get normalized camera coordinates.
  virtual void InvertIntrinsics(double image_x,
                                double image_y,
                                double* normalized_x,
                                double* normalized_y) const = 0;
 
  virtual void Pack(PackedIntrinsics* packed_intrinsics) const;
  virtual void Unpack(const PackedIntrinsics& packed_intrinsics);
 
  // Distort an image using the current camera instrinsics
  //
  // The distorted image is computed in output_buffer using samples from
  // input_buffer. Both buffers should be width x height x channels sized.
  //
  // Overscan is a percentage value of how much overcan the image have.
  // For example overscal value of 0.2 means 20% of overscan in the
  // buffers.
  //
  // Overscan is usually used in cases when one need to distort an image
  // and don't have a barrel in the distorted buffer. For example, when
  // one need to render properly distorted FullHD frame without barrel
  // visible. For such cases renderers usually renders bigger images and
  // crops them after the distortion.
  //
  // This method is templated to be able to distort byte and float buffers
  // without having separate methods for this two types. So basically only
  //
  // But in fact PixelType might be any type for which multiplication by
  // a scalar and addition are implemented. For example PixelType might be
  // Vec3 as well.
  template <typename PixelType>
  void DistortBuffer(const PixelType* input_buffer,
                     int width,
                     int height,
                     double overscan,
                     int channels,
                     PixelType* output_buffer);
 
  // Undistort an image using the current camera instrinsics
  //
  // The undistorted image is computed in output_buffer using samples from
  // input_buffer. Both buffers should be width x height x channels sized.
  //
  // Overscan is a percentage value of how much overcan the image have.
  // For example overscal value of 0.2 means 20% of overscan in the
  // buffers.
  //
  // Overscan is usually used in cases when one need to distort an image
  // and don't have a barrel in the distorted buffer. For example, when
  // one need to render properly distorted FullHD frame without barrel
  // visible. For such cases renderers usually renders bigger images and
  // crops them after the distortion.
  //
  // This method is templated to be able to distort byte and float buffers
  // without having separate methods for this two types. So basically only
  //
  // But in fact PixelType might be any type for which multiplication by
  // a scalar and addition are implemented. For example PixelType might be
  // Vec3 as well.
  template <typename PixelType>
  void UndistortBuffer(const PixelType* input_buffer,
                       int width,
                       int height,
                       double overscan,
                       int channels,
                       PixelType* output_buffer);
 
 private:
  // This is the size of the image. This is necessary to, for example, handle
  // the case of processing a scaled image.
  int image_width_;
  int image_height_;
 
  // The traditional intrinsics matrix from x = K[R|t]X.
  Mat3 K_;
 
  // Coordinate lookup grids for distortion and undistortion.
  internal::LookupWarpGrid distort_;
  internal::LookupWarpGrid undistort_;
 
 protected:
  // Reset lookup grids after changing the distortion model.
  void ResetLookupGrids();
};
 
class PolynomialCameraIntrinsics : public CameraIntrinsics {
 public:
  // This constants defines an offset of corresponding coefficients
  // in the parameters_ array.
  enum {
    OFFSET_K1,
    OFFSET_K2,
    OFFSET_K3,
    OFFSET_P1,
    OFFSET_P2,
 
    // This defines the size of array which we need to have in order
    // to store all the coefficients.
    NUM_PARAMETERS,
  };
 
  PolynomialCameraIntrinsics();
  PolynomialCameraIntrinsics(const PolynomialCameraIntrinsics& from);
 
  DistortionModelType GetDistortionModelType() const override {
    return DISTORTION_MODEL_POLYNOMIAL;
  }
 
  double k1() const { return parameters_[OFFSET_K1]; }
  double k2() const { return parameters_[OFFSET_K2]; }
  double k3() const { return parameters_[OFFSET_K3]; }
  double p1() const { return parameters_[OFFSET_P1]; }
  double p2() const { return parameters_[OFFSET_P2]; }
 
  // Set radial distortion coeffcients.
  void SetRadialDistortion(double k1, double k2, double k3);
 
  // Set tangential distortion coeffcients.
  void SetTangentialDistortion(double p1, double p2);
 
  // Apply camera intrinsics to the normalized point to get image coordinates.
  //
  // This applies the lens distortion to a point which is in normalized
  // camera coordinates (i.e. the principal point is at (0, 0)) to get image
  // coordinates in pixels.
  void ApplyIntrinsics(double normalized_x,
                       double normalized_y,
                       double* image_x,
                       double* image_y) const override;
 
  // Invert camera intrinsics on the image point to get normalized coordinates.
  //
  // This reverses the effect of lens distortion on a point which is in image
  // coordinates to get normalized camera coordinates.
  void InvertIntrinsics(double image_x,
                        double image_y,
                        double* normalized_x,
                        double* normalized_y) const override;
 
  virtual void Pack(PackedIntrinsics* packed_intrinsics) const override;
  virtual void Unpack(const PackedIntrinsics& packed_intrinsics) override;
 
 private:
  // OpenCV's distortion model with third order polynomial radial distortion
  // terms and second order tangential distortion. The distortion is applied to
  // the normalized coordinates before the focal length, which makes them
  // independent of image size.
  double parameters_[NUM_PARAMETERS];
};
 
class DivisionCameraIntrinsics : public CameraIntrinsics {
 public:
  // This constants defines an offset of corresponding coefficients
  // in the parameters_ array.
  enum {
    OFFSET_K1,
    OFFSET_K2,
 
    // This defines the size of array which we need to have in order
    // to store all the coefficients.
    NUM_PARAMETERS,
  };
 
  DivisionCameraIntrinsics();
  DivisionCameraIntrinsics(const DivisionCameraIntrinsics& from);
 
  DistortionModelType GetDistortionModelType() const override {
    return DISTORTION_MODEL_DIVISION;
  }
 
  double k1() const { return parameters_[OFFSET_K1]; }
  double k2() const { return parameters_[OFFSET_K2]; }
 
  // Set radial distortion coeffcients.
  void SetDistortion(double k1, double k2);
 
  // Apply camera intrinsics to the normalized point to get image coordinates.
  //
  // This applies the lens distortion to a point which is in normalized
  // camera coordinates (i.e. the principal point is at (0, 0)) to get image
  // coordinates in pixels.
  void ApplyIntrinsics(double normalized_x,
                       double normalized_y,
                       double* image_x,
                       double* image_y) const override;
 
  // Invert camera intrinsics on the image point to get normalized coordinates.
  //
  // This reverses the effect of lens distortion on a point which is in image
  // coordinates to get normalized camera coordinates.
  void InvertIntrinsics(double image_x,
                        double image_y,
                        double* normalized_x,
                        double* normalized_y) const override;
 
  virtual void Pack(PackedIntrinsics* packed_intrinsics) const override;
  virtual void Unpack(const PackedIntrinsics& packed_intrinsics) override;
 
 private:
  // Double-parameter division distortion model.
  double parameters_[NUM_PARAMETERS];
};
 
class NukeCameraIntrinsics : public CameraIntrinsics {
 public:
  // This constants defines an offset of corresponding coefficients
  // in the parameters_ array.
  enum {
    OFFSET_K1,
    OFFSET_K2,
 
    // This defines the size of array which we need to have in order
    // to store all the coefficients.
    NUM_PARAMETERS,
  };
 
  NukeCameraIntrinsics();
  NukeCameraIntrinsics(const NukeCameraIntrinsics& from);
 
  DistortionModelType GetDistortionModelType() const override {
    return DISTORTION_MODEL_NUKE;
  }
 
  double k1() const { return parameters_[OFFSET_K1]; }
  double k2() const { return parameters_[OFFSET_K2]; }
 
  // Set radial distortion coeffcients.
  void SetDistortion(double k1, double k2);
 
  // Apply camera intrinsics to the normalized point to get image coordinates.
  //
  // This applies the lens distortion to a point which is in normalized
  // camera coordinates (i.e. the principal point is at (0, 0)) to get image
  // coordinates in pixels.
  void ApplyIntrinsics(double normalized_x,
                       double normalized_y,
                       double* image_x,
                       double* image_y) const override;
 
  // Invert camera intrinsics on the image point to get normalized coordinates.
  //
  // This reverses the effect of lens distortion on a point which is in image
  // coordinates to get normalized camera coordinates.
  void InvertIntrinsics(double image_x,
                        double image_y,
                        double* normalized_x,
                        double* normalized_y) const override;
 
  virtual void Pack(PackedIntrinsics* packed_intrinsics) const override;
  virtual void Unpack(const PackedIntrinsics& packed_intrinsics) override;
 
 private:
  // Double-parameter division distortion model.
  double parameters_[NUM_PARAMETERS];
};
 
class BrownCameraIntrinsics : public CameraIntrinsics {
 public:
  // This constants defines an offset of corresponding coefficients
  // in the parameters_ array.
  enum {
    OFFSET_K1,
    OFFSET_K2,
    OFFSET_K3,
    OFFSET_K4,
    OFFSET_P1,
    OFFSET_P2,
 
    // This defines the size of array which we need to have in order
    // to store all the coefficients.
    NUM_PARAMETERS,
  };
 
  BrownCameraIntrinsics();
  BrownCameraIntrinsics(const BrownCameraIntrinsics& from);
 
  DistortionModelType GetDistortionModelType() const override {
    return DISTORTION_MODEL_BROWN;
  }
 
  double k1() const { return parameters_[OFFSET_K1]; }
  double k2() const { return parameters_[OFFSET_K2]; }
  double k3() const { return parameters_[OFFSET_K3]; }
  double k4() const { return parameters_[OFFSET_K4]; }
  double p1() const { return parameters_[OFFSET_P1]; }
  double p2() const { return parameters_[OFFSET_P2]; }
 
  // Set radial distortion coeffcients.
  void SetRadialDistortion(double k1, double k2, double k3, double k4);
 
  // Set tangential distortion coeffcients.
  void SetTangentialDistortion(double p1, double p2);
 
  // Apply camera intrinsics to the normalized point to get image coordinates.
  //
  // This applies the lens distortion to a point which is in normalized
  // camera coordinates (i.e. the principal point is at (0, 0)) to get image
  // coordinates in pixels.
  void ApplyIntrinsics(double normalized_x,
                       double normalized_y,
                       double* image_x,
                       double* image_y) const override;
 
  // Invert camera intrinsics on the image point to get normalized coordinates.
  //
  // This reverses the effect of lens distortion on a point which is in image
  // coordinates to get normalized camera coordinates.
  void InvertIntrinsics(double image_x,
                        double image_y,
                        double* normalized_x,
                        double* normalized_y) const override;
 
  virtual void Pack(PackedIntrinsics* packed_intrinsics) const override;
  virtual void Unpack(const PackedIntrinsics& packed_intrinsics) override;
 
 private:
  double parameters_[NUM_PARAMETERS];
};

std::ostream& operator<<(std::ostream& os, const CameraIntrinsics& intrinsics);
 
}  // namespace libmv
 
// Include implementation of all templated methods here,
// so they're visible to the compiler.
#include "libmv/simple_pipeline/camera_intrinsics_impl.h"
 
#endif  // LIBMV_SIMPLE_PIPELINE_CAMERA_INTRINSICS_H_