Projective Reconstruction from Pairwise Overlapping Multiple Views

Linear Multi View Reconstruction with Missing Data

General multi view reconstruction from affine or projective cameras has so far been solved most efficiently using methods of factorizing image data matrices into camera and scene parameters. This can be done directly for affine cameras [18] and after computing epipolar geometry for projective cameras [17]. A notorious problem has been the fact that these factorization methods require all points...

A Comparison of Projective Reconstruction Methods for Pairs of Views

Recently, different approaches for uncalibrated stereo have been suggested which permit projective reconstruction from multiple views. These use weak calibration which is represented by the epipolar geometry, and so no knowledge of the intrinsic or extrinsic camera parameters is required. In this paper we consider projective reconstructions from pairs of views, and compare a number of the avail...

Multiple Motion Scene Reconstruction from Uncalibrated Views

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 movin...

Iterative Projective Reconstruction from Multiple Views

Projective 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...