blob: 1b1fcdb9af5fde8f1e620f00bed3b4a6ec0e8784 [file] [log] [blame]
/*
* cv_feature_match_cluster.h - optical flow feature match selected by clustering
*
* Copyright (c) 2016-2017 Intel Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* Author: Wu Junkai <[email protected]>
*/
#ifndef XCAM_CV_FEATURE_MATCH_CLUSTER_H
#define XCAM_CV_FEATURE_MATCH_CLUSTER_H
#include "cv_feature_match.h"
namespace XCam {
class CVFeatureMatchCluster
: public CVFeatureMatch
{
public:
explicit CVFeatureMatchCluster ();
virtual void feature_match (
const SmartPtr<VideoBuffer> &left_buf, const SmartPtr<VideoBuffer> &right_buf);
private:
virtual void detect_and_match (cv::Mat img_left, cv::Mat img_right);
virtual void calc_of_match (
cv::Mat image0, cv::Mat image1, std::vector<cv::Point2f> &corner0,
std::vector<cv::Point2f> &corner1, std::vector<uchar> &status, std::vector<float> &error);
bool calc_mean_offset (
std::vector<cv::Point2f> &corner0, std::vector<cv::Point2f> &corner1, std::vector<uchar> &status,
std::vector<float> &error, float &mean_offset_x, float &mean_offset_y,
cv::Mat debug_img, cv::Size &img0_size, cv::Size &img1_size);
private:
XCAM_DEAD_COPY (CVFeatureMatchCluster);
};
}
#endif // XCAM_CV_FEATURE_MATCH_CLUSTER_H