Best Viewpoint Tracking (Occupancy Experiment)

Описание: Best Viewpoint Tracking for Camera Mounted on robot Arm with Dynamic Obstacles

Christos Maniatis, Marcelo Saval-Calvo, Radim Tylecek, Robert B. Fisher

The problem of finding a next best viewpoint for 3D modeling or scene mapping has been explored in computer vision over the last decade. This paper tackles a similar problem, but with different characteristics. It proposes a method for dynamic next best viewpoint recovery of a target point while avoiding possible occlusions. Since the environment can change, the method has to iteratively find the next best view with a global knowledge of the free and occupied parts.

We model the problem as a set of possible viewpoints which correspond to the centers of cell of a virtual tessellated hemisphere covering the scene. Taking into account occlusions, distances between current and future viewpoints, quality of the viewpoint and joint constraints (robot arm joint distances or limits), we evaluate the next best viewpoint. The proposal has been evaluated 0n 8 different scenarios with different occlusions and a short 3D video sequence to validate the dynamic performance.

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