[−][src]Trait opencv::prelude::RgbdNormalsTrait

pub trait RgbdNormalsTrait: AlgorithmTrait {
    pub fn as_raw_RgbdNormals(&self) -> *const c_void;
    pub fn as_raw_mut_RgbdNormals(&mut self) -> *mut c_void;

    pub fn initialize(&self) -> Result<()> { ... }
    pub fn get_rows(&self) -> Result<i32> { ... }
    pub fn set_rows(&mut self, val: i32) -> Result<()> { ... }
    pub fn get_cols(&self) -> Result<i32> { ... }
    pub fn set_cols(&mut self, val: i32) -> Result<()> { ... }
    pub fn get_window_size(&self) -> Result<i32> { ... }
    pub fn set_window_size(&mut self, val: i32) -> Result<()> { ... }
    pub fn get_depth(&self) -> Result<i32> { ... }
    pub fn set_depth(&mut self, val: i32) -> Result<()> { ... }
    pub fn get_k(&self) -> Result<Mat> { ... }
    pub fn set_k(&mut self, val: &Mat) -> Result<()> { ... }
    pub fn get_method(&self) -> Result<i32> { ... }
    pub fn set_method(&mut self, val: i32) -> Result<()> { ... }
}

Object that can compute the normals in an image. It is an object as it can cache data for speed efficiency The implemented methods are either:

FALS (the fastest) and SRI from Fast and Accurate Computation of Surface Normals from Range Images by H. Badino, D. Huber, Y. Park and T. Kanade
the normals with bilateral filtering on a depth image from Gradient Response Maps for Real-Time Detection of Texture-Less Objects by S. Hinterstoisser, C. Cagniart, S. Ilic, P. Sturm, N. Navab, P. Fua, and V. Lepetit