Performance of optical flow techniques
International Journal of Computer Vision
Accuracy vs efficiency trade-offs in optical flow algorithms
Computer Vision and Image Understanding
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Monocular Optical Flow for Real-Time Vision Systems
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Real-Time Optical Flow
Frame rate up-conversion using region-based optical flow
Machine Graphics & Vision International Journal
Hi-index | 0.00 |
In hand drawn animation, some of the animations are created at very low frame rates (12 frames per second) because of a limited budget. A simple technique for increasing frame rates is animation tweening. In fact, most animation tweening applications process only vector-based objects. Further, there is no algorithm which can automatically define extensive modelling and animation of 3D objects for the animation tweening process. In this work, a raster-based animation tweening algorithm which does not require extensive modelling and animation of 3D objects is presented. The algorithm is based on motion-compensated frame rate up-conversion (MC-FRC), whose performance depends heavily on motion estimation (ME). A more accurate flow field, which is a combination of 2D parametric motion flow field and optical flow field, is developed. The results obtained for various types of hand drawn animation scenes are illustrated. The experimental results show that higher quality in-between frames can be obtained by the proposed algorithm.