Struct opencv::xfeatures2d::MSDDetector

pub struct MSDDetector { /* fields omitted */ }

Class implementing the MSD (Maximal Self-Dissimilarity) keypoint detector, described in Tombari14.

The algorithm implements a novel interest point detector stemming from the intuition that image patches which are highly dissimilar over a relatively large extent of their surroundings hold the property of being repeatable and distinctive. This concept of “contextual self-dissimilarity” reverses the key paradigm of recent successful techniques such as the Local Self-Similarity descriptor and the Non-Local Means filter, which build upon the presence of similar - rather than dissimilar - patches. Moreover, it extends to contextual information the local self-dissimilarity notion embedded in established detectors of corner-like interest points, thereby achieving enhanced repeatability, distinctiveness and localization accuracy.

Implementations

impl MSDDetector

pub fn create(
    m_patch_radius: i32,
    m_search_area_radius: i32,
    m_nms_radius: i32,
    m_nms_scale_radius: i32,
    m_th_saliency: f32,
    m_k_nn: i32,
    m_scale_factor: f32,
    m_n_scales: i32,
    m_compute_orientation: bool
) -> Result<Ptr<MSDDetector>>

C++ default parameters

• m_patch_radius: 3
• m_search_area_radius: 5
• m_nms_radius: 5
• m_nms_scale_radius: 0
• m_th_saliency: 250.0f
• m_k_nn: 4
• m_scale_factor: 1.25f
• m_n_scales: -1
• m_compute_orientation: false

Trait Implementations

impl AlgorithmTrait for MSDDetector

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTraitConst for MSDDetector

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl Boxed for MSDDetector

unsafe fn from_raw(ptr: *mut c_void) -> Self

Wrap the specified raw pointer

fn into_raw(self) -> *mut c_void

Return an the underlying raw pointer while consuming this wrapper.

fn as_raw(&self) -> *const c_void

Return the underlying raw pointer.

fn as_raw_mut(&mut self) -> *mut c_void

Return the underlying mutable raw pointer

impl Drop for MSDDetector

fn drop(&mut self)

Executes the destructor for this type.

impl Feature2DTrait for MSDDetector

fn as_raw_mut_Feature2D(&mut self) -> *mut c_void

fn detect(
    &mut self,
    image: &dyn ToInputArray,
    keypoints: &mut Vector<KeyPoint>,
    mask: &dyn ToInputArray
) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple(
    &mut self,
    images: &dyn ToInputArray,
    keypoints: &mut Vector<Vector<KeyPoint>>,
    masks: &dyn ToInputArray
) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn compute(
    &mut self,
    image: &dyn ToInputArray,
    keypoints: &mut Vector<KeyPoint>,
    descriptors: &mut dyn ToOutputArray
) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple(
    &mut self,
    images: &dyn ToInputArray,
    keypoints: &mut Vector<Vector<KeyPoint>>,
    descriptors: &mut dyn ToOutputArray
) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute(
    &mut self,
    image: &dyn ToInputArray,
    mask: &dyn ToInputArray,
    keypoints: &mut Vector<KeyPoint>,
    descriptors: &mut dyn ToOutputArray,
    use_provided_keypoints: bool
) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_1(&mut self, unnamed: &FileNode) -> Result<()>

impl Feature2DTraitConst for MSDDetector

fn as_raw_Feature2D(&self) -> *const c_void

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_1(&self, unnamed: &mut FileStorage) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_2(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

C++ default parameters

impl From<MSDDetector> for Algorithm

fn from(s: MSDDetector) -> Self

Performs the conversion.

impl From<MSDDetector> for Feature2D

fn from(s: MSDDetector) -> Self

Performs the conversion.

impl MSDDetectorTrait for MSDDetector

fn as_raw_mut_MSDDetector(&mut self) -> *mut c_void

impl MSDDetectorTraitConst for MSDDetector

fn as_raw_MSDDetector(&self) -> *const c_void

impl Send for MSDDetector