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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Control of Constraint Weights for a 2D Autonomous Camera
verfasst von : Md. Shafiul Alam, Scott D. Goodwin
Erschienen in: Advances in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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This paper addresses the problem of deducing and adjusting constraint weights at run time to guide the movement of the camera in an informed and controlled way in response to the requirements of the shot. This enables the control of weights at the frame level. We analyze the mathematical representation of the cost structure of the search domain so that the constraint solver can search the domain efficiently. Here we consider a simple tracking shot of a single target without occlusion or other environment elements. In this paper we consider only the distance, orientation, frame coherence distance and frame coherence rotation constraints in 2D. The cost structure for 2D suggests the use of a binary search to find the solution camera position.