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Published byAlondra Munsey Modified over 9 years ago
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Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Three-dimensional curve reconstruction from multiple images
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Outline Introduction Problem formulation Curve reconstruction Experimental results Conclusions
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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.
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Outline Introduction Problem formulation Curve reconstruction Experimental results Conclusions
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Problem Formulation
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The 2D reprojection error measured can be defined as
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Outline Introduction Problem formulation Curve reconstruction Experimental results Conclusions
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Curve Reconstruction
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Introducing (5) into (3)
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Curve Reconstruction
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We may incorporate constraint 7(b) into the cost function (7) by means of a penalty term with a penalty factor γ.
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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 establishment 1. Affine-invariant points detection 2. Affine-invariant segments matching 3. Matching section extension 4. Similarity score computation (3) initial 3D reconstruction
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Curve Reconstruction Point-based curve reconstruction algorithm
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Curve Reconstruction
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Outline Introduction Problem formulation Curve reconstruction Experimental results Conclusions
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Experimental Result Synthetic Images
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Experimental Result Tissue Box Jar
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Experimental Result Mug Dell Box
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Outline Introduction Problem formulation Curve reconstruction Experimental results Conclusions
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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.
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