// Compute the resized image
if (level != params_.first_level_)
{
- float scale = 1 / std::pow(params_.scale_factor_, float(level - params_.first_level_));
+ float scale = 1 / std::pow(params_.scale_factor_, float(level) - float(params_.first_level_));
cv::resize(image, image_pyramid[level], cv::Size(), scale, scale, cv::INTER_AREA);
if (!mask.empty())
cv::resize(mask, mask_pyramid[level], cv::Size(), scale, scale, cv::INTER_AREA);
continue;
std::vector<cv::KeyPoint> & keypoints = all_keypoints[level];
- float scale = 1.0f / std::pow(params_.scale_factor_, float(level - params_.first_level_));
+ float scale = 1.0f / std::pow(params_.scale_factor_, float(level) - float(params_.first_level_));
for (std::vector<cv::KeyPoint>::iterator keypoint = keypoints.begin(), keypoint_end = keypoints.end(); keypoint
!= keypoint_end; ++keypoint)
keypoint->pt *= scale;
// Copy to the output data
if (level != params_.first_level_)
{
- float scale = std::pow(params_.scale_factor_, float(level - params_.first_level_));
+ float scale = std::pow(params_.scale_factor_, float(level) - float(params_.first_level_));
for (std::vector<cv::KeyPoint>::iterator keypoint = keypoints.begin(), keypoint_end = keypoints.end(); keypoint
!= keypoint_end; ++keypoint)
keypoint->pt *= scale;