Struct MSDDetector

pub struct MSDDetector { /* private fields */ }

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

pub fn create_def() -> Result<Ptr<MSDDetector>>

Note

This alternative version of MSDDetector::create function uses the following default values for its arguments:

• 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_: &impl FileNodeTraitConst) -> 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 impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

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

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

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: <MSDDetector as OpenCVFromExtern>::ExternReceive, ) -> Self

Wrap the specified raw pointer

fn into_raw(self) -> <MSDDetector as OpenCVTypeExternContainer>::ExternSendMut

Return the underlying raw pointer while consuming this wrapper.

fn as_raw(&self) -> <MSDDetector as OpenCVTypeExternContainer>::ExternSend

Return the underlying raw pointer.

fn as_raw_mut( &mut self, ) -> <MSDDetector as OpenCVTypeExternContainer>::ExternSendMut

Return the underlying mutable raw pointer

impl Debug for MSDDetector

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

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: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

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

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

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

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

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

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

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

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

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

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> 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_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

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

Return true if detector object is empty

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

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

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

impl From<MSDDetector> for Algorithm

fn from(s: MSDDetector) -> Self

Converts to this type from the input type.

impl From<MSDDetector> for Feature2D

fn from(s: MSDDetector) -> Self

Converts to this type from the input type.

impl MSDDetectorTrait for MSDDetector

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

fn set_patch_radius(&mut self, patch_radius: i32) -> Result<()>

fn set_search_area_radius(&mut self, use_orientation: i32) -> Result<()>

fn set_nms_radius(&mut self, nms_radius: i32) -> Result<()>

fn set_nms_scale_radius(&mut self, nms_scale_radius: i32) -> Result<()>

fn set_th_saliency(&mut self, th_saliency: f32) -> Result<()>

fn set_knn(&mut self, k_nn: i32) -> Result<()>

fn set_scale_factor(&mut self, scale_factor: f32) -> Result<()>

fn set_n_scales(&mut self, use_orientation: i32) -> Result<()>

fn set_compute_orientation(&mut self, compute_orientation: bool) -> Result<()>

impl MSDDetectorTraitConst for MSDDetector

fn as_raw_MSDDetector(&self) -> *const c_void

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

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

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

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

fn get_th_saliency(&self) -> Result<f32>

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

fn get_scale_factor(&self) -> Result<f32>

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

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

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

impl Send for MSDDetector