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diff --git a/internal/ceres/local_parameterization.cc b/internal/ceres/local_parameterization.cc
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+// Ceres Solver - A fast non-linear least squares minimizer
+// Copyright 2010, 2011, 2012 Google Inc. All rights reserved.
+// http://code.google.com/p/ceres-solver/
+//
+// Redistribution and use in source and binary forms, with or without
+// modification, are permitted provided that the following conditions are met:
+//
+// * Redistributions of source code must retain the above copyright notice,
+//   this list of conditions and the following disclaimer.
+// * Redistributions in binary form must reproduce the above copyright notice,
+//   this list of conditions and the following disclaimer in the documentation
+//   and/or other materials provided with the distribution.
+// * Neither the name of Google Inc. nor the names of its contributors may be
+//   used to endorse or promote products derived from this software without
+//   specific prior written permission.
+//
+// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+// POSSIBILITY OF SUCH DAMAGE.
+//
+// Author: sameeragarwal@google.com (Sameer Agarwal)
+
+#include "ceres/local_parameterization.h"
+
+#include "ceres/internal/eigen.h"
+#include "ceres/rotation.h"
+#include "glog/logging.h"
+
+namespace ceres {
+
+IdentityParameterization::IdentityParameterization(const int size)
+    : size_(size) {
+  CHECK_GT(size, 0);
+}
+
+bool IdentityParameterization::Plus(const double* x,
+                                    const double* delta,
+                                    double* x_plus_delta) const {
+  VectorRef(x_plus_delta, size_) =
+      ConstVectorRef(x, size_) + ConstVectorRef(delta, size_);
+  return true;
+}
+
+bool IdentityParameterization::ComputeJacobian(const double* x,
+                                               double* jacobian) const {
+  MatrixRef(jacobian, size_, size_) = Matrix::Identity(size_, size_);
+  return true;
+}
+
+SubsetParameterization::SubsetParameterization(
+    int size,
+    const vector<int>& constant_parameters)
+    : local_size_(size - constant_parameters.size()),
+      constancy_mask_(size, 0) {
+  CHECK_GT(constant_parameters.size(), 0)
+      << "The set of constant parameters should contain at least "
+      << "one element. If you do not wish to hold any parameters "
+      << "constant, then do not use a SubsetParameterization";
+
+  vector<int> constant = constant_parameters;
+  sort(constant.begin(), constant.end());
+  CHECK(unique(constant.begin(), constant.end()) == constant.end())
+      << "The set of constant parameters cannot contain duplicates";
+  CHECK_LT(constant_parameters.size(), size)
+      << "Number of parameters held constant should be less "
+      << "than the size of the parameter block. If you wish "
+      << "to hold the entire parameter block constant, then a "
+      << "efficient way is to directly mark it as constant "
+      << "instead of using a LocalParameterization to do so.";
+  CHECK_GE(*min_element(constant.begin(), constant.end()), 0);
+  CHECK_LT(*max_element(constant.begin(), constant.end()), size);
+
+  for (int i = 0; i < constant_parameters.size(); ++i) {
+    constancy_mask_[constant_parameters[i]] = 1;
+  }
+}
+
+bool SubsetParameterization::Plus(const double* x,
+                                  const double* delta,
+                                  double* x_plus_delta) const {
+  for (int i = 0, j = 0; i < constancy_mask_.size(); ++i) {
+    if (constancy_mask_[i]) {
+      x_plus_delta[i] = x[i];
+    } else {
+      x_plus_delta[i] = x[i] + delta[j++];
+    }
+  }
+  return true;
+}
+
+bool SubsetParameterization::ComputeJacobian(const double* x,
+                                             double* jacobian) const {
+  MatrixRef m(jacobian, constancy_mask_.size(), local_size_);
+  m.setZero();
+  for (int i = 0, j = 0; i < constancy_mask_.size(); ++i) {
+    if (!constancy_mask_[i]) {
+      m(i, j++) = 1.0;
+    }
+  }
+  return true;
+}
+
+bool QuaternionParameterization::Plus(const double* x,
+                                      const double* delta,
+                                      double* x_plus_delta) const {
+  const double norm_delta =
+      sqrt(delta[0] * delta[0] + delta[1] * delta[1] + delta[2] * delta[2]);
+  if (norm_delta > 0.0) {
+    const double sin_delta_by_delta = (sin(norm_delta) / norm_delta);
+    double q_delta[4];
+    q_delta[0] = cos(norm_delta);
+    q_delta[1] = sin_delta_by_delta * delta[0];
+    q_delta[2] = sin_delta_by_delta * delta[1];
+    q_delta[3] = sin_delta_by_delta * delta[2];
+    QuaternionProduct(q_delta, x, x_plus_delta);
+  } else {
+    for (int i = 0; i < 4; ++i) {
+      x_plus_delta[i] = x[i];
+    }
+  }
+  return true;
+}
+
+bool QuaternionParameterization::ComputeJacobian(const double* x,
+                                                 double* jacobian) const {
+  jacobian[0] = -x[1]; jacobian[1]  = -x[2]; jacobian[2]  = -x[3];  // NOLINT
+  jacobian[3] =  x[0]; jacobian[4]  =  x[3]; jacobian[5]  = -x[2];  // NOLINT
+  jacobian[6] = -x[3]; jacobian[7]  =  x[0]; jacobian[8]  =  x[1];  // NOLINT
+  jacobian[9] =  x[2]; jacobian[10] = -x[1]; jacobian[11] =  x[0];  // NOLINT
+  return true;
+}
+
+}  // namespace ceres