Point Cloud Library (PCL)
1.11.1-dev
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75 gradMag (
float *I,
int h,
int w,
int d,
float *M,
float *O )
const;
90 gradHist (
float *M,
float *O,
int h,
int w,
int bin_size,
int n_orients,
bool soft_bin,
float *H)
const;
104 normalization (
float *H,
int h,
int w,
int bin_size,
int n_orients,
float clip,
float *G )
const;
119 compute (
float *I,
int h,
int w,
int n_channels,
int bin_size,
int n_orients,
bool soft_bin,
float *descriptor);
128 compute (
float *I,
float *descriptor)
const;
136 grad1 (
float *I,
float *Gx,
float *Gy,
int h,
int w,
int x )
const;
148 gradQuantize (
float *O,
float *M,
int *O0,
int *O1,
float *M0,
float *M1,
int n_orients,
int nb,
int n,
float norm )
const;
154 alMalloc ( std::size_t size,
int alignment )
const;
160 alFree (
void* aligned)
const;
Defines all the PCL and non-PCL macros used.
float clip_
value at which to clip histogram bins (default = 0.2)
int w_
image width (default = 64)
bool soft_bin_
if true, each pixel can contribute to multiple spatial bins (using bilinear interpolation) (default =...
int n_orients_
number of orientation bins (default = 9)
int n_channels_
image number of channels (default = 3)
HOG represents a class for computing the HOG descriptor described in Dalal, N.
int bin_size_
spatial bin size (default = 8)
int h_
image height (default = 128)