Program Listing for File hog.h¶
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/*
* Software License Agreement (Simplified BSD License)
*
* Point Cloud Library (PCL) - www.pointclouds.org
* Copyright (c) 2013-, Open Perception, Inc.
* Copyright (c) 2012, Piotr Dollar & Ron Appel. [pdollar-at-caltech.edu]
*
* All rights reserved.
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* modification, are permitted provided that the following conditions are met:
*
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* list of conditions and the following disclaimer.
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* and/or other materials provided with the distribution.
*
* 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
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*
* hog.h
* Created on: Nov 30, 2012
* Derived from Piotr Dollar's MATLAB Image&Video Toolbox Version 3.00.
* Non-SSE version of the code provided by Matteo Munaro, Stefano Ghidoni and Stefano Michieletto
*/
#ifndef PCL_PEOPLE_HOG_H_
#define PCL_PEOPLE_HOG_H_
#include <pcl/pcl_macros.h>
namespace pcl
{
namespace people
{
/** \brief @b HOG represents a class for computing the HOG descriptor described in
* Dalal, N. and Triggs, B., "Histograms of oriented gradients for human detection", CVPR 2005.
* \author Matteo Munaro, Stefano Ghidoni, Stefano Michieletto
* \ingroup people
*/
class PCL_EXPORTS HOG
{
public:
/** \brief Constructor. */
HOG ();
/** \brief Destructor. */
virtual ~HOG ();
/**
* \brief Compute gradient magnitude and orientation at each location (uses sse).
*
* \param[in] I Image as array of float.
* \param[in] h Image height.
* \param[in] w Image width.
* \param[in] d Image number of channels.
* \param[out] M Gradient magnitude for each image point.
* \param[out] O Gradient orientation for each image point.
*/
void
gradMag ( float *I, int h, int w, int d, float *M, float *O ) const;
/**
* \brief Compute n_orients gradient histograms per bin_size x bin_size block of pixels.
*
* \param[in] M Gradient magnitude for each image point.
* \param[in] O Gradient orientation for each image point.
* \param[in] h Image height.
* \param[in] w Image width.
* \param[in] bin_size Spatial bin size.
* \param[in] n_orients Number of orientation bins.
* \param[in] soft_bin If true, each pixel can contribute to multiple spatial bins (using bilinear interpolation).
* \param[out] H Gradient histograms.
*/
void
gradHist ( float *M, float *O, int h, int w, int bin_size, int n_orients, bool soft_bin, float *H) const;
/**
* \brief Normalize histogram of gradients.
*
* \param[in] H Gradient histograms.
* \param[in] h Image height.
* \param[in] w Image width.
* \param[in] bin_size Spatial bin size.
* \param[in] n_orients Number of orientation bins.
* \param[in] clip Value at which to clip histogram bins.
* \param[out] G Normalized gradient histograms.
*/
void
normalization ( float *H, int h, int w, int bin_size, int n_orients, float clip, float *G ) const;
/**
* \brief Compute HOG descriptor.
*
* \param[in] I Image as array of float between 0 and 1.
* \param[in] h Image height.
* \param[in] w Image width.
* \param[in] n_channels Image number of channels.
* \param[in] bin_size Spatial bin size.
* \param[in] n_orients Number of orientation bins.
* \param[in] soft_bin If true, each pixel can contribute to multiple spatial bins (using bilinear interpolation).
* \param[out] descriptor HOG descriptor.
*/
void
compute (float *I, int h, int w, int n_channels, int bin_size, int n_orients, bool soft_bin, float *descriptor);
/**
* \brief Compute HOG descriptor with default parameters.
*
* \param[in] I Image as array of float between 0 and 1.
* \param[out] descriptor HOG descriptor.
*/
void
compute (float *I, float *descriptor) const;
private:
/**
* \brief Compute x and y gradients for just one column (uses sse).
*/
void
grad1 ( float *I, float *Gx, float *Gy, int h, int w, int x ) const;
/**
* \brief Build lookup table a[] s.t. a[dx/2.02*n]~=acos(dx).
*/
float*
acosTable () const;
/**
* \brief Helper for gradHist, quantize O and M into O0, O1 and M0, M1 (uses sse).
*/
void
gradQuantize ( float *O, float *M, int *O0, int *O1, float *M0, float *M1, int n_orients, int nb, int n, float norm ) const;
/**
* \brief Platform independent aligned memory allocation (see also alFree).
*/
void*
alMalloc ( size_t size, int alignment ) const;
/**
* \brief Platform independent aligned memory de-allocation (see also alMalloc).
*/
void
alFree (void* aligned) const;
protected:
/** \brief image height (default = 128) */
int h_;
/** \brief image width (default = 64) */
int w_;
/** \brief image number of channels (default = 3) */
int n_channels_;
/** \brief spatial bin size (default = 8) */
int bin_size_;
/** \brief number of orientation bins (default = 9) */
int n_orients_;
/** \brief if true, each pixel can contribute to multiple spatial bins (using bilinear interpolation) (default = true) */
bool soft_bin_;
/** \brief value at which to clip histogram bins (default = 0.2) */
float clip_;
};
} /* namespace people */
} /* namespace pcl */
#endif /* PCL_PEOPLE_HOG_H_ */