Multiple Motion Scene Reconstruction from Uncalibrated Views
نویسندگان
چکیده
We describe a reconstruction method of multiple motion scenes, which are the scenes containing multiple moving objects, from uncalibrated views. Assuming that the objects are moving with constant velocities, the method recovers the scene structure, the trajectories of the moving objects, the camera motion and the camera intrinsic parameters (except skews) simultaneously. The number of the moving objects is automatically detected without prior motion segmentation. The method is based on a uni£ed geometrical representation of the static scene and the moving objects. It £rst performs a projective reconstruction using a bilinear factorization algorithm, and then converts the projective solution to a Euclidean one by enforcing metric constraints. Experimental results on synthetic and real images are presented.
منابع مشابه
Uncalibrated and Self-calibrated Cameras
The aim of the project is to provide a comprehensive survey on the issue of the 3D scene reconstruction from 2D self-calibrated and totally uncalibrated camera views. Image reconstruction is a very important area in the field of computer vision, robotics, and image processing, Several approaches has been suggested and tested. This project will survey reconstruction methods for multiple motion s...
متن کاملLinear and Bilinear Subspace Methods for Structure from Motion
Structure from Motion (SFM), which is recovering camera motion and scene structure from image sequences, has various applications, such as scene modeling, robot navigation and object recognition. Most of previous research on SFM requires simplifying assumptions on the camera or the scene. Common assumptions are a) the camera intrinsic parameters, such as focal lengths, are known or unchanged th...
متن کاملProjective Structure from Uncalibrated Images: Structure From Motion and Recognition
| We address the problem of reconstructing 3D space in a projective framework from two or more views, and the problem of artiicially generating novel views of the scene from two given views (re-projection). We describe an invariance relation which provides a new description of structure, we call projective depth, which is captured by a single equation relating image point correspondences across...
متن کاملVisual-Geometric Scene Reconstruction from Image Streams
Visual-geometric scene reconstructions capture the visual appearance and geometry of real 3D scenes from image streams. Depending on the type of camera motion and type of scene structure, either 2D od 3D representations can be used. From the representations one can render new views of the scene with high degree of realism. Recently we see a lot of research in this field, especially for the case...
متن کاملScene Reconstruction from Multiple Uncalibrated Views
We describe a factorization-based method to reconstruct Euclidean shape and motion from multiple perspective views with uncalibrated cameras. The method rst performs a projective reconstruction using a bilinear factorization algorithm, and then converts the projective solution to a Euclidean one by enforcing metric constraints. We present three factorization-based normalization algorithms to ge...
متن کامل