| /external/opencv3/doc/tutorials/features2d/akaze_matching/ |
| akaze_matching.markdown | 9 We will find keypoints on a pair of images with given homography matrix, match them and count the
11 number of inliers (i. e. matches that fit in the given homography).
23 Homography is given by a 3 by 3 matrix:
29 You can find the images (*graf1.png*, *graf3.png*) and homography (*H1to3p.xml*) in
38 -# **Load images and homography**
43 Mat homography;
45 fs.getFirstTopLevelNode() >> homography;
47 We are loading grayscale images here. Homography is stored in the xml created with FileStorage.
84 -# **Check if our matches fit in the homography model**
91 col = homography * col
[all...] |
| /development/perftests/panorama/feature_mos/src/mosaic/ |
| AlignFeatures.h | 48 // Type of homography to model
78 double Hcurr[9]; // Homography from the alignment reference to the frame-t
79 double Hprev[9]; // Homography from frame-0 to the frame-(t-1)
|
| /external/opencv3/samples/cpp/tutorial_code/features2D/ |
| AKAZE_match.cpp | 18 Mat homography; local
20 fs.getFirstTopLevelNode() >> homography;
51 col = homography * col;
|
| /packages/apps/LegacyCamera/jni/feature_mos/src/mosaic/ |
| AlignFeatures.h | 48 // Type of homography to model
78 double Hcurr[9]; // Homography from the alignment reference to the frame-t
79 double Hprev[9]; // Homography from frame-0 to the frame-(t-1)
|
| /development/perftests/panorama/feature_stab/db_vlvm/ |
| db_rob_image_homography.h | 33 * \defgroup LMRobImageHomography (LM) Robust Image Homography
54 Solve for homography H such that xp~Hx
55 \param H best homography
88 /*Best homography*/
|
| db_framestitching.h | 22 * \defgroup FrameStitching Frame Stitching (2D and 3D homography estimation)
31 * \defgroup LMFrameStitching (LM) Frame Stitching (2D and 3D homography estimation)
|
| db_feature_matching.h | 138 * \param H image homography (prewarp) to be applied to right image features
228 * \param H image homography (prewarp) to be applied to right image features
|
| db_image_homography.h | 30 * \defgroup LMImageHomography (LM) Image Homography Estimation (feature based)
92 Solve for a homography H generated by a rotation R with a common unknown focal length f, i.e.
|
| /packages/apps/LegacyCamera/jni/feature_stab/db_vlvm/ |
| db_rob_image_homography.h | 33 * \defgroup LMRobImageHomography (LM) Robust Image Homography
54 Solve for homography H such that xp~Hx
55 \param H best homography
88 /*Best homography*/
|
| db_framestitching.h | 22 * \defgroup FrameStitching Frame Stitching (2D and 3D homography estimation)
31 * \defgroup LMFrameStitching (LM) Frame Stitching (2D and 3D homography estimation)
|
| /external/opencv3/doc/tutorials/features2d/detection_of_planar_objects/ |
| detection_of_planar_objects.markdown | 40 - Find the homography transformation between two sets of points: :
48 with homography:
|
| /external/opencv3/doc/tutorials/features2d/akaze_tracking/ |
| akaze_tracking.markdown | 16 -# Estimate homography transformation using RANSAC
18 -# Apply homography transformation to the bounding box to find the object
91 -# Use *RANSAC* to estimate homography transformation
93 homography = findHomography(Points(matched1), Points(matched2),
115 perspectiveTransform(object_bb, new_bb, homography);
|
| /external/opencv/cv/src/ |
| cvcalcimagehomography.cpp | 46 calculate image homography
72 CvMat homography = cvMat( 3, 3, CV_32F, _homography ); local
114 cvMatMul( &r_trans, &sub, &homography );
|
| /external/opencv3/samples/cpp/tutorial_code/xfeatures2D/ |
| LATCH_match.cpp | 28 Mat homography; local
31 fs.getFirstTopLevelNode() >> homography;
69 col = homography * col;
|
| /external/opencv3/modules/calib3d/src/ |
| rho.h | 85 * Homography Estimation context.
138 * Estimates the homography using the given context, matches and parameters to
145 * a match. The homography estimation attempts to find the 3x3 matrix H which
162 * the returned homography, if any. A zero indicates an outlier; A non-zero
213 * Notice that the homography is normalized to H22 = 1.0.
216 * homography with at least the minimum required support, and 0 if it was not.
219 * @param [in/out] p The context to use for homography estimation. Must
244 unsigned rhoHest(Ptr<RHO_HEST> p, /* Homography estimation context. */
|
| homography_decomp.cpp | 3 // This is a homography decomposition implementation contributed to OpenCV
4 // by Samson Yilma. It implements the homography decomposition algorithm
6 // Malis, E and Vargas, M, "Deeper understanding of the homography decomposition
58 //struct to hold solutions of homography decomposition
115 // normalizes homography with intrinsic camera parameters
151 //!main routine to decompose homography
155 //normalize homography matrix with intrinsic camera matrix
157 //remove scale of the normalized homography
434 // function decomposes image-to-image homography to rotation and translation matrices
|
| /external/ceres-solver/examples/ |
| libmv_homography.cc | 51 // This file demonstrates solving for a homography between two sets of points.
52 // A homography describes a transformation between a sets of points on a plane,
55 // algebraic solution for the homography, then solving for a final solution by
77 // This structure contains options that controls how the homography
83 // Default settings for homography estimation which should be suitable
94 // estimated homography matrix.
148 // A parameterization of the 2D homography matrix that uses 8 parameters so
150 // The homography matrix H is built from a list of 8 parameters (a, b,...g, h)
178 // 2D Homography transformation estimation in the case that points are in
244 // used for homography matrix refinement
[all...] |
| /external/opencv3/samples/cpp/tutorial_code/features2D/AKAZE_tracking/ |
| planar_tracking.cpp | 69 Mat inlier_mask, homography; local
73 homography = findHomography(Points(matched1), Points(matched2),
77 if(matched1.size() < 4 || homography.empty()) {
96 perspectiveTransform(object_bb, new_bb, homography);
|
| /external/opencv3/modules/stitching/include/opencv2/stitching/detail/ |
| autocalib.hpp | 55 /** @brief Tries to estimate focal lengths from the given homography under the assumption that the camera
58 @param H Homography.
|
| /external/opencv3/samples/python2/ |
| feature_homography.py | 4 Feature homography
7 Example of using features2d framework for interactive video homography matching.
|
| lk_homography.py | 4 Lucas-Kanade homography tracker
9 between frames. Finds homography between reference and current views.
|
| asift.py | 8 is based on SIFT, you can try to use SURF or ORB detectors instead. Homography RANSAC
153 print '%d matches found, not enough for homography estimation' % len(p1)
|
| plane_tracker.py | 7 Example of using features2d framework for interactive video homography matching.
57 H - homography matrix from p0 to p1
|
| /external/opencv3/samples/cpp/ |
| image_alignment.cpp | 53 "{m motionType | affine | type of motion (translation, euclidean, affine, homography) }"
71 "yourInitialWarp.ecc -o=outWarp.ecc -m=homography -e=1e-6 -N=70 -v=1 -w=yourFinalImage.png \n" << endl;
78 // 9 values for homography, 6 otherwise
197 || warpType == "affine" || warpType == "homography"))
277 if (warpType == "homography")
|
| /external/opencv3/modules/calib3d/test/ |
| test_homography_decomp.cpp | 97 //expected solution for the given homography and intrinsic matrices
|
