Trait opencv::hub_prelude::StereoBM

source · 
pub trait StereoBM: StereoBMConst + StereoMatcher {
    fn as_raw_mut_StereoBM(&mut self) -> *mut c_void;

    fn set_pre_filter_type(&mut self, pre_filter_type: i32) -> Result<()> { ... }
    fn set_pre_filter_size(&mut self, pre_filter_size: i32) -> Result<()> { ... }
    fn set_pre_filter_cap(&mut self, pre_filter_cap: i32) -> Result<()> { ... }
    fn set_texture_threshold(&mut self, texture_threshold: i32) -> Result<()> { ... }
    fn set_uniqueness_ratio(&mut self, uniqueness_ratio: i32) -> Result<()> { ... }
    fn set_smaller_block_size(&mut self, block_size: i32) -> Result<()> { ... }
    fn set_roi1(&mut self, roi1: Rect) -> Result<()> { ... }
    fn set_roi2(&mut self, roi2: Rect) -> Result<()> { ... }
}

Required Methods

Provided Methods

Implementations

source

impl dyn StereoBM + '_

Creates StereoBM object

Parameters
  • numDisparities: the disparity search range. For each pixel algorithm will find the best disparity from 0 (default minimum disparity) to numDisparities. The search range can then be shifted by changing the minimum disparity.
  • blockSize: the linear size of the blocks compared by the algorithm. The size should be odd (as the block is centered at the current pixel). Larger block size implies smoother, though less accurate disparity map. Smaller block size gives more detailed disparity map, but there is higher chance for algorithm to find a wrong correspondence.

The function create StereoBM object. You can then call StereoBM::compute() to compute disparity for a specific stereo pair.

C++ default parameters
  • num_disparities: 0
  • block_size: 21

Implementors