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| CCREParams (const AMParams *am_params, int _n_bins, bool _partition_of_unity, double _pre_seed, bool _symmetrical_grad, int _n_blocks, bool _debug_mode) |
| | value constructor
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| CCREParams (const CCREParams *params=nullptr) |
| | default and copy constructor
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| AMParams (int _resx, int _resy, double _grad_eps=GRAD_EPS, double _hess_eps=HESS_EPS, bool _uchar_input=UCHAR_INPUT, double _likelihood_alpha=AM_LIKELIHOOD_ALPHA, double _likelihood_beta=AM_LIKELIHOOD_BETA, bool _dist_from_likelihood=AM_DIST_FROM_LIKELIHOOD, double _learning_rate=AM_LEARNING_RATE, IlluminationModel *_ilm=nullptr) |
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| AMParams (const AMParams *am_params=nullptr) |
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| ImgParams (int _resx, int _resy, double _grad_eps=GRAD_EPS, double _hess_eps=HESS_EPS, bool _uchar_input=UCHAR_INPUT) |
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| ImgParams (const ImgParams *img_params=nullptr) |
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| int | n_bins |
| | no. More...
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bool | partition_of_unity |
| | decides whether the partition of unity constraint has to be strictly observed for border bins; if enabled, the pixel values will be normalized in the range [1, n_bins-2] so each pixel contributes to all 4 bins
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| double | pre_seed |
| | initial value with which each bin of the joint histogram is pre-seeded to avoid numerical instabilities due to empty or near empty bins (caused e.g. More...
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bool | symmetrical_grad |
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int | n_blocks |
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bool | debug_mode |
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double | likelihood_alpha |
| | multiplicative and additive factors for the exponent in the likelihood
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double | likelihood_beta |
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bool | dist_from_likelihood |
| | use negative of likelihood as the distance measure
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double | learning_rate |
| | optional factor to control the rate of online learning
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ILM | ilm |
| | optional parametric function of pixel values that can account for lighting changes
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int | resx |
| | horizontal and vertical sampling resolutions
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int | resy |
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double | grad_eps |
| | numerical increment/decrement used for computing image hessian and gradient using the method of finite differences
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double | hess_eps |
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bool | uchar_input |
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no.
of bins in the histograms used internally - dimensionality of the CCRE error vector will be n_bins * n_bins; if partition_of_unity is enabled, this should be 2 more than the desired no. of bins (w.r.t normalized pixel range) since the actual range within which the pixel values are normalized is 2 less than this value to avoid boundary conditions while computing the contribution of each pixel to different bins by ensuring that pixels with the maximum and minimum values contribute to all 4 bins required by the b-spline function of degree 3 used here;
| double CCREParams::pre_seed |
initial value with which each bin of the joint histogram is pre-seeded to avoid numerical instabilities due to empty or near empty bins (caused e.g.
by having to assume log(0) = 0 for empty bins)
The documentation for this struct was generated from the following file:
Public Member Functions inherited from AMParams
1.8.11
