void |
opencv_stitching.FeaturesMatcher.apply(opencv_stitching.ImageFeatures features1,
opencv_stitching.ImageFeatures features2,
opencv_stitching.MatchesInfo matches_info) |
void |
opencv_stitching.FeaturesMatcher.apply(opencv_stitching.ImageFeatures features,
opencv_stitching.MatchesInfo pairwise_matches) |
void |
opencv_stitching.FeaturesMatcher.apply(opencv_stitching.ImageFeatures features,
opencv_stitching.MatchesInfo pairwise_matches,
opencv_core.Mat mask) |
void |
opencv_stitching.Estimator.apply(opencv_stitching.ImageFeatures features,
opencv_stitching.MatchesInfo pairwise_matches,
opencv_stitching.CameraParams cameras) |
static void |
opencv_stitching.estimateFocal(opencv_stitching.ImageFeatures features,
opencv_stitching.MatchesInfo pairwise_matches,
double[] focals) |
static void |
opencv_stitching.estimateFocal(opencv_stitching.ImageFeatures features,
opencv_stitching.MatchesInfo pairwise_matches,
DoubleBuffer focals) |
static void |
opencv_stitching.estimateFocal(opencv_stitching.ImageFeatures features,
opencv_stitching.MatchesInfo pairwise_matches,
DoublePointer focals) |
static void |
opencv_stitching.findMaxSpanningTree(int num_images,
opencv_stitching.MatchesInfo pairwise_matches,
opencv_stitching.Graph span_tree,
int[] centers) |
static void |
opencv_stitching.findMaxSpanningTree(int num_images,
opencv_stitching.MatchesInfo pairwise_matches,
opencv_stitching.Graph span_tree,
IntBuffer centers) |
static void |
opencv_stitching.findMaxSpanningTree(int num_images,
opencv_stitching.MatchesInfo pairwise_matches,
opencv_stitching.Graph span_tree,
IntPointer centers) |
static IntPointer |
opencv_stitching.leaveBiggestComponent(opencv_stitching.ImageFeatures features,
opencv_stitching.MatchesInfo pairwise_matches,
float conf_threshold) |
static BytePointer |
opencv_stitching.matchesGraphAsString(opencv_core.StringVector pathes,
opencv_stitching.MatchesInfo pairwise_matches,
float conf_threshold) |
opencv_stitching.MatchesInfo |
opencv_stitching.MatchesInfo.put(opencv_stitching.MatchesInfo other) |