Camera auto-calibration using a sequence of 2D images with small rotations
Pattern Recognition Letters
Shape from silhouette outlines using an adaptive dandelion model
Computer Vision and Image Understanding
Data Reduction by Applying an Image-Based Modeling and Rendering Technique to CG Models
Journal of Visualization
Image and Vision Computing
Shape from silhouettes based on a centripetal pentahedron model
Graphical Models
On-line modeling for real-time 3D target tracking
Machine Vision and Applications
Shape-from-Silhouette with two mirrors and an uncalibrated camera
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
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The goal of this study is to investigate the reconstruction of three-dimensional (3-D) graphical models of real objects in a controlled imaging environment and present the work done in our group based on silhouette-based reconstruction. Although many parts of the whole system have been well-known in the literature and in practice, the main contribution of the paper is that it describes a complete, end-to-end system explained in detail. Based on a multi-image calibration method, an algorithm to extract the rotation axis of a turn-table has been developed. Furthermore, this can be extended to estimate robustly the initial bounding volume of the object to be modeled. The disadvantages of the silhouette-based reconstruction can be removed by an algorithm using photoconsistency. This algorithm has a simpler visibility check, and it eliminates the selection of threshold existing in similar algorithms. Besides, in order to construct the appearance, we use the concept of particles. The reconstruction results are shown both on real world and synthetic objects.