Readings in computer vision: issues, problems, principles, and paradigms
Creating Virtual Scenes Using Active Contours and Global Motion Estimation
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Keyframe-based tracking for rotoscoping and animation
ACM SIGGRAPH 2004 Papers
Random Walks for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We present a novel rotoscoping method that provides accurate object boundaries while still remaining simple to use. We have designed this method so that a user familiar with existing, spline-based rotoscoping techniques will not need to significantly modify their workflow. Our method utilizes a modified version of the Random Walks segmentation algorithm, known as Scale-Space Random Walks (SSRW), to provide a level of accuracy simply not possible using splines alone. Furthermore, due to the nature of the SSRW algorithm, we are able to provide a realtime, or near realtime, level of interaction with the user.