Abstract: Techniques related to embedding a 3D object model within a 3D scene are discussed. Such techniques include determining two or more object mask images for two or more corresponding cameras trained on the 3D scene, projecting 3D points from the 3D object model to the image planes of the two or more cameras, and determining a position and orientation of the 3D object model in the scene using the object mask images and the projected 3D points.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to show a multiple-camera calibration without an initial guess. An example method includes calculating a homography for a camera pair, the homography created using common image plane coordinate matches of identified features and identified focal lengths of cameras of the camera pair, decomposing the homography to identify relative translations, rotations, and surface normals; solving a minimization for camera centers of the cameras, and calibrating the cameras using the cameras positions and orientations.

Abstract: Techniques related to embedding a 3D object model within a 3D scene are discussed. Such techniques include determining two or more object mask images for two or more corresponding cameras trained on the 3D scene, projecting 3D points from the 3D object model to the image planes of the two or more cameras, and determining a position and orientation of the 3D object model in the scene using the object mask images and the projected 3D points.