|
|
|
@ -560,7 +560,7 @@ __global__ void matchTemplatePreparedKernel_CCOFF_NORMED_8U( |
|
|
|
|
(image_sqsum.ptr(y + h)[x + w] - image_sqsum.ptr(y)[x + w]) - |
|
|
|
|
(image_sqsum.ptr(y + h)[x] - image_sqsum.ptr(y)[x])); |
|
|
|
|
result.ptr(y)[x] = min(1.f, (ccorr - image_sum_ * templ_sum_scale) * |
|
|
|
|
rsqrtf(templ_sqsum_scale * (image_sqsum_ - weight * image_sum_ * image_sum_ + 1.f))); |
|
|
|
|
rsqrtf(templ_sqsum_scale * max(1.f, image_sqsum_ - weight * image_sum_ * image_sum_))); |
|
|
|
|
} |
|
|
|
|
} |
|
|
|
|
|
|
|
|
@ -610,8 +610,8 @@ __global__ void matchTemplatePreparedKernel_CCOFF_NORMED_8UC2( |
|
|
|
|
(image_sqsum_g.ptr(y + h)[x + w] - image_sqsum_g.ptr(y)[x + w]) - |
|
|
|
|
(image_sqsum_g.ptr(y + h)[x] - image_sqsum_g.ptr(y)[x])); |
|
|
|
|
float ccorr = result.ptr(y)[x]; |
|
|
|
|
float rdenom = rsqrtf(templ_sqsum_scale * (image_sqsum_r_ - weight * image_sum_r_ * image_sum_r_ |
|
|
|
|
+ image_sqsum_g_ - weight * image_sum_g_ * image_sum_g_ + 1.f)); |
|
|
|
|
float rdenom = rsqrtf(templ_sqsum_scale * max(1.f, image_sqsum_r_ - weight * image_sum_r_ * image_sum_r_ |
|
|
|
|
+ image_sqsum_g_ - weight * image_sum_g_ * image_sum_g_)); |
|
|
|
|
result.ptr(y)[x] = min(1.f, (ccorr - image_sum_r_ * templ_sum_scale_r |
|
|
|
|
- image_sum_g_ * templ_sum_scale_g) * rdenom); |
|
|
|
|
} |
|
|
|
@ -678,9 +678,9 @@ __global__ void matchTemplatePreparedKernel_CCOFF_NORMED_8UC3( |
|
|
|
|
(image_sqsum_b.ptr(y + h)[x + w] - image_sqsum_b.ptr(y)[x + w]) - |
|
|
|
|
(image_sqsum_b.ptr(y + h)[x] - image_sqsum_b.ptr(y)[x])); |
|
|
|
|
float ccorr = result.ptr(y)[x]; |
|
|
|
|
float rdenom = rsqrtf(templ_sqsum_scale * (image_sqsum_r_ - weight * image_sum_r_ * image_sum_r_ |
|
|
|
|
+ image_sqsum_g_ - weight * image_sum_g_ * image_sum_g_ |
|
|
|
|
+ image_sqsum_b_ - weight * image_sum_b_ * image_sum_b_ + 1.f)); |
|
|
|
|
float rdenom = rsqrtf(templ_sqsum_scale * max(1.f, image_sqsum_r_ - weight * image_sum_r_ * image_sum_r_ |
|
|
|
|
+ image_sqsum_g_ - weight * image_sum_g_ * image_sum_g_ |
|
|
|
|
+ image_sqsum_b_ - weight * image_sum_b_ * image_sum_b_)); |
|
|
|
|
result.ptr(y)[x] = min(1.f, (ccorr - image_sum_r_ * templ_sum_scale_r |
|
|
|
|
- image_sum_g_ * templ_sum_scale_g |
|
|
|
|
- image_sum_b_ * templ_sum_scale_b) * rdenom); |
|
|
|
@ -760,10 +760,10 @@ __global__ void matchTemplatePreparedKernel_CCOFF_NORMED_8UC4( |
|
|
|
|
(image_sqsum_a.ptr(y + h)[x + w] - image_sqsum_a.ptr(y)[x + w]) - |
|
|
|
|
(image_sqsum_a.ptr(y + h)[x] - image_sqsum_a.ptr(y)[x])); |
|
|
|
|
float ccorr = result.ptr(y)[x]; |
|
|
|
|
float rdenom = rsqrtf(templ_sqsum_scale * (image_sqsum_r_ - weight * image_sum_r_ * image_sum_r_ |
|
|
|
|
+ image_sqsum_g_ - weight * image_sum_g_ * image_sum_g_ |
|
|
|
|
+ image_sqsum_b_ - weight * image_sum_b_ * image_sum_b_ |
|
|
|
|
+ image_sqsum_a_ - weight * image_sum_a_ * image_sum_a_ + 1.f)); |
|
|
|
|
float rdenom = rsqrtf(templ_sqsum_scale * max(1.f, image_sqsum_r_ - weight * image_sum_r_ * image_sum_r_ |
|
|
|
|
+ image_sqsum_g_ - weight * image_sum_g_ * image_sum_g_ |
|
|
|
|
+ image_sqsum_b_ - weight * image_sum_b_ * image_sum_b_ |
|
|
|
|
+ image_sqsum_a_ - weight * image_sum_a_ * image_sum_a_)); |
|
|
|
|
result.ptr(y)[x] = min(1.f, (ccorr - image_sum_r_ * templ_sum_scale_r |
|
|
|
|
- image_sum_g_ * templ_sum_scale_g |
|
|
|
|
- image_sum_b_ * templ_sum_scale_b |
|
|
|
@ -822,7 +822,7 @@ __global__ void normalizeKernel_8U( |
|
|
|
|
float image_sqsum_ = (float)( |
|
|
|
|
(image_sqsum.ptr(y + h)[(x + w) * cn] - image_sqsum.ptr(y)[(x + w) * cn]) - |
|
|
|
|
(image_sqsum.ptr(y + h)[x * cn] - image_sqsum.ptr(y)[x * cn])); |
|
|
|
|
result.ptr(y)[x] = min(1.f, result.ptr(y)[x] * rsqrtf((image_sqsum_ + 1.f) * templ_sqsum)); |
|
|
|
|
result.ptr(y)[x] = min(1.f, result.ptr(y)[x] * rsqrtf(max(1.f, image_sqsum_) * templ_sqsum)); |
|
|
|
|
} |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|