department of electrical and electronic engineering, the university of hong kong, pokfulam road,...
TRANSCRIPT
Depar tment o f E lect r ica l and E lect ron ic Engineer ing ,
The Univers i ty o f Hong Kong,
Pokfu lam Road,
Hong Kong
Three-dimensional curve reconstruction from multiple images
Introduction
Unlike most existing methods, our approach does not require any other additional information of the image features or calibration of cameras.
Since this is a point-based curve reconstruction approach , the problem of missing and/or partially occluded curves is readily handled using methods that are already established for occluded points.
Curve Reconstruction
To avoid the non-linearity in the function,we can introducing the inverse depth =
Curve Reconstruction
We may incorporate constraint 7(b) into the cost function (7) by means of a penalty term with a penalty factor γ.
Curve Reconstruction
We use a three-step process to obtain a good initial guess for iterative algorithm.
(1) 2D representative point selection.(2) initial point correspondences
establishment1. Affine-invariant points detection2. Affine-invariant segments matching3. Matching section extension4. Similarity score computation
(3) initial 3D reconstruction
Conclusions
In this paper, we propose a new approach for reconstructing 3D curves from a sequence of images taken by uncalibrated cameras.
It is capable of constructing both planar curves and non-planar curves, and it readily handles cases where not all curves are visible or some curves are partially occluded.