To avoid the complex computation of trifocal tensor,a simple strategy is presented.

Approach to metric reconstruction based on trifocal tensor

This paper proposes an algorithm for trifocal tensor,the method makes use of a set of image point correspondences from three images which taken by RANSAC method accomplish the estimation of the trifocal tensor,which computes briefly and completes easily in the range of the errors.

In order to avoid miscorrespondences on three uncalibrated images matching,the trifocal tensor is used in correspondence of tree trunks,and tree trunks lines could be fixed by lines transfer of the trifocal tensor.

This paper studies the trifocal tensor and uses it to match the features of image sequences,then through experiment shows that this method can effectively improve the rate,the points and lines of correctly matching.

This paper mainly researches the application that one uses the trifocal tensor to get feature points and feature lines.

Application of bifocal distraction osteogenesis and trifocal distraction osteogenesis for reconstruction of mandibular defect;

By studying the geometry relationship among the corresponding points on three different projective planes based on epipolar geometry,it obtained the trilinear tensor constraining corresponding points of different view.

Firstly,it synthesizes those missing points in image sequence based on tri-linear tensor,and then rebuilds a new measurement matrix without missing elements,which is decomposed by the bilinear affine factorization method to recover the ini.

By studyin g the geometrical relation among the corresponding points on three different projective planes based on epipolar geometry, the tri-linear tensor constrainin g the corresponding points of different views is obtained.