Trait opencv::hub_prelude::LATCH

source ·

pub trait LATCH: Feature2DTrait + LATCHConst {
    // Required method
    fn as_raw_mut_LATCH(&mut self) -> *mut c_void;

    // Provided methods
    fn set_bytes(&mut self, bytes: i32) -> Result<()> { ... }
    fn set_rotation_invariance(
        &mut self,
        rotation_invariance: bool
    ) -> Result<()> { ... }
    fn set_half_ss_dsize(&mut self, half_ssd_size: i32) -> Result<()> { ... }
    fn set_sigma(&mut self, sigma: f64) -> Result<()> { ... }
}

Expand description

latch Class for computing the LATCH descriptor. If you find this code useful, please add a reference to the following paper in your work: Gil Levi and Tal Hassner, “LATCH: Learned Arrangements of Three Patch Codes”, arXiv preprint arXiv:1501.03719, 15 Jan. 2015

LATCH is a binary descriptor based on learned comparisons of triplets of image patches.

bytes is the size of the descriptor - can be 64, 32, 16, 8, 4, 2 or 1
rotationInvariance - whether or not the descriptor should compansate for orientation changes.
half_ssd_size - the size of half of the mini-patches size. For example, if we would like to compare triplets of patches of size 7x7x then the half_ssd_size should be (7-1)/2 = 3.
sigma - sigma value for GaussianBlur smoothing of the source image. Source image will be used without smoothing in case sigma value is 0.

Note: the descriptor can be coupled with any keypoint extractor. The only demand is that if you use set rotationInvariance = True then you will have to use an extractor which estimates the patch orientation (in degrees). Examples for such extractors are ORB and SIFT.

Note: a complete example can be found under /samples/cpp/tutorial_code/xfeatures2D/latch_match.cpp