Journal of Algorithms
Reconstructing a convex polygon from binary perspective projections
Pattern Recognition
Model-based probing strategies for convex polygons
Computational Geometry: Theory and Applications
Reconstructing ellipsoids from projections
CVGIP: Graphical Models and Image Processing
How many 2D silhouettes does it take to reconstruct a 3D object?
Computer Vision and Image Understanding
Reconstructing coronary arterial segments from three projection boundaries
Pattern Recognition Letters
VR modeler: from image sequences to 3D models
Proceedings of the 20th spring conference on Computer graphics
The HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We introduce a new probing problem: what is the minimum number of cameras at fixed positions necessary and sufficient to reconstruct any strictly convex polygon contained in a disk of radius 1 if cameras only see the silhouette of the polygon? The optimal number only depends on the largest angle 驴 of the polygon. If no two camera tangents overlap, $\lceil \frac{3\pi}{\pi-\alpha} \rceil$ cameras are necessary and sufficient. Otherwise, approximately $\lceil \frac{4\pi}{\pi-\alpha} \rceil$ cameras are sufficient. Reconstruction only takes time linear in the number of cameras. We also give results for the 3D case.