![]() Merging is used to recognise individual stones from pairs of silhouette sets captured on different occasions. Shape properties (such as volume, flatness, and elongation) are inferred more accurately from the merged silhouette sets than from the original silhouette sets. This is achieved by adjusting pose parameters to maximise geometrical consistency specified by the epipolar tangency constraint. ![]() Multiple silhouette sets of a stone are merged into a single set by inferring relative poses between sets. Second, the configuration and calibration of a high throughput multi-camera setup is covered. Pose and camera internal parameters are inferred from silhouettes alone. First, a setup consisting of two mirrors and a camera is introduced. Calibration of two image capture setups is investigated. This thesis presents methods to estimate stone shape and to recognise individual stones from their silhouettes. Multi-view shape-from-silhouette systems are increasingly used for analysing stones.
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