// This file is part of OpenCV project. // It is subject to the license terms in the LICENSE file found in the top-level directory // of this distribution and at http://opencv.org/license.html // This code is also subject to the license terms in the LICENSE_KinectFusion.md file found in this module's directory #ifndef __OPENCV_RGBD_DYNAFU_HPP__ #define __OPENCV_RGBD_DYNAFU_HPP__ #include "opencv2/core.hpp" #include "opencv2/core/affine.hpp" #include "kinfu.hpp" namespace cv { namespace dynafu { /** @brief DynamicFusion implementation This class implements a 3d reconstruction algorithm as described in @cite dynamicfusion. It takes a sequence of depth images taken from depth sensor (or any depth images source such as stereo camera matching algorithm or even raymarching renderer). The output can be obtained as a vector of points and their normals or can be Phong-rendered from given camera pose. It extends the KinectFusion algorithm to handle non-rigidly deforming scenes by maintaining a sparse set of nodes covering the geometry such that each node contains a warp to transform it from a canonical space to the live frame. An internal representation of a model is a voxel cuboid that keeps TSDF values which are a sort of distances to the surface (for details read the @cite kinectfusion article about TSDF). There is no interface to that representation yet. Note that DynamicFusion is based on the KinectFusion algorithm which is patented and its use may be restricted by the list of patents mentioned in README.md file in this module directory. That's why you need to set the OPENCV_ENABLE_NONFREE option in CMake to use DynamicFusion. */ /** Backwards compatibility for old versions */ using Params = kinfu::Params; class CV_EXPORTS_W DynaFu { public: CV_WRAP static Ptr create(const Ptr& _params); virtual ~DynaFu(); /** @brief Get current parameters */ virtual const kinfu::Params& getParams() const = 0; /** @brief Renders a volume into an image Renders a 0-surface of TSDF using Phong shading into a CV_8UC4 Mat. Light pose is fixed in DynaFu params. @param image resulting image @param cameraPose pose of camera to render from. If empty then render from current pose which is a last frame camera pose. */ CV_WRAP virtual void render(OutputArray image, const Matx44f& cameraPose = Matx44f::eye()) const = 0; /** @brief Gets points and normals of current 3d mesh The order of normals corresponds to order of points. The order of points is undefined. @param points vector of points which are 4-float vectors @param normals vector of normals which are 4-float vectors */ CV_WRAP virtual void getCloud(OutputArray points, OutputArray normals) const = 0; /** @brief Gets points of current 3d mesh The order of points is undefined. @param points vector of points which are 4-float vectors */ CV_WRAP virtual void getPoints(OutputArray points) const = 0; /** @brief Calculates normals for given points @param points input vector of points which are 4-float vectors @param normals output vector of corresponding normals which are 4-float vectors */ CV_WRAP virtual void getNormals(InputArray points, OutputArray normals) const = 0; /** @brief Resets the algorithm Clears current model and resets a pose. */ CV_WRAP virtual void reset() = 0; /** @brief Get current pose in voxel space */ virtual const Affine3f getPose() const = 0; /** @brief Process next depth frame Integrates depth into voxel space with respect to its ICP-calculated pose. Input image is converted to CV_32F internally if has another type. @param depth one-channel image which size and depth scale is described in algorithm's parameters @return true if succeeded to align new frame with current scene, false if opposite */ CV_WRAP virtual bool update(InputArray depth) = 0; virtual std::vector getNodesPos() const = 0; virtual void marchCubes(OutputArray vertices, OutputArray edges) const = 0; virtual void renderSurface(OutputArray depthImage, OutputArray vertImage, OutputArray normImage, bool warp=true) = 0; }; //! @} } } #endif