pub trait BOWImgDescriptorExtractorTraitConst {
fn as_raw_BOWImgDescriptorExtractor(&self) -> *const c_void;
fn get_vocabulary(&self) -> Result<Mat> { ... }
fn descriptor_size(&self) -> Result<i32> { ... }
fn descriptor_type(&self) -> Result<i32> { ... }
}Expand description
Class to compute an image descriptor using the bag of visual words.
Such a computation consists of the following steps:
- Compute descriptors for a given image and its keypoints set.
- Find the nearest visual words from the vocabulary for each keypoint descriptor.
- Compute the bag-of-words image descriptor as is a normalized histogram of vocabulary words encountered in the image. The i-th bin of the histogram is a frequency of i-th word of the vocabulary in the given image.
Required Methods
fn as_raw_BOWImgDescriptorExtractor(&self) -> *const c_void
Provided Methods
fn get_vocabulary(&self) -> Result<Mat>
fn get_vocabulary(&self) -> Result<Mat>
Returns the set vocabulary.
fn descriptor_size(&self) -> Result<i32>
fn descriptor_size(&self) -> Result<i32>
Returns an image descriptor size if the vocabulary is set. Otherwise, it returns 0.
fn descriptor_type(&self) -> Result<i32>
fn descriptor_type(&self) -> Result<i32>
Returns an image descriptor type.