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// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2014 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)
//
// This implementation was inspired by the description at
// http://www.paulinternet.nl/?page=bicubic
#include "ceres/cubic_interpolation.h"
#include <math.h>
#include "glog/logging.h"
namespace ceres {
namespace {
inline void CatmullRomSpline(const double p0,
const double p1,
const double p2,
const double p3,
const double x,
double* f,
double* dfdx) {
const double a = 0.5 * (-p0 + 3.0 * p1 - 3.0 * p2 + p3);
const double b = 0.5 * (2.0 * p0 - 5.0 * p1 + 4.0 * p2 - p3);
const double c = 0.5 * (-p0 + p2);
const double d = p1;
// Use Horner's rule to evaluate the function value and its
// derivative.
// f = ax^3 + bx^2 + cx + d
if (f != NULL) {
*f = d + x * (c + x * (b + x * a));
}
// dfdx = 3ax^2 + 2bx + c
if (dfdx != NULL) {
*dfdx = c + x * (2.0 * b + 3.0 * a * x);
}
}
} // namespace
CubicInterpolator::CubicInterpolator(const double* values, const int num_values)
: values_(CHECK_NOTNULL(values)),
num_values_(num_values) {
CHECK_GT(num_values, 1);
}
bool CubicInterpolator::Evaluate(const double x,
double* f,
double* dfdx) const {
if (x < 0 || x > num_values_ - 1) {
return false;
}
int n = floor(x);
// Handle the case where the point sits exactly on the right boundary.
if (n == num_values_ - 1) {
n -= 1;
}
const double p1 = values_[n];
const double p2 = values_[n + 1];
const double p0 = (n > 0) ? values_[n - 1] : (2.0 * p1 - p2);
const double p3 = (n < (num_values_ - 2)) ? values_[n + 2] : (2.0 * p2 - p1);
CatmullRomSpline(p0, p1, p2, p3, x - n, f, dfdx);
return true;
}
} // namespace ceres