Traditional cartoons have been widely used in entertainment,education,and advertisement.Thus,a large amount of cartoon data is available.In this paper,we propose a new technique for capturing the motion of a character...Traditional cartoons have been widely used in entertainment,education,and advertisement.Thus,a large amount of cartoon data is available.In this paper,we propose a new technique for capturing the motion of a character in an existing cartoon sequence.This technique tracks the contours of the cartoon character in the sequence,and key frames are used to guide the tracking.We model contour tracking as a space-time optimization problem in which an energy function including both temporal and spatial constraints is defined.First,the user labels the contours of the character on the key frames.Then,the contours on the intermediate frames are tracked by minimizing the energy function.The user may need to interactively adjust the tracking result and restart the optimization process to refine the result.Finally,an edge snapping algorithm is applied to make the tracking result more precise.Experiments show that our technique works effectively.展开更多
基金Project supported by the National Natural Science Foundation of China (No.60903134)the National Key Technology R & D Program of China (No.2007BAH11B00)the Fundamental Research Funds for the Central Universities of China (No.2009QNA5021)
文摘Traditional cartoons have been widely used in entertainment,education,and advertisement.Thus,a large amount of cartoon data is available.In this paper,we propose a new technique for capturing the motion of a character in an existing cartoon sequence.This technique tracks the contours of the cartoon character in the sequence,and key frames are used to guide the tracking.We model contour tracking as a space-time optimization problem in which an energy function including both temporal and spatial constraints is defined.First,the user labels the contours of the character on the key frames.Then,the contours on the intermediate frames are tracked by minimizing the energy function.The user may need to interactively adjust the tracking result and restart the optimization process to refine the result.Finally,an edge snapping algorithm is applied to make the tracking result more precise.Experiments show that our technique works effectively.
