Twixtor Pro 7.0.2 (OFX) !EXCLUSIVE!
Download Zip →→→ https://0initvarho.blogspot.com/?lf=2uHylG
For more information about Twixtor please visit the website. \ Fig. [fig:results] shows a comparison of the performance of various methods in terms of the RMSD [@hildner2010accurate] of the estimated motion. We only use RMSD values for motion estimation and not for inferring *deformation* in our experiments. The deformation is rather unconstrained, so we can not expect a high accuracy of the estimated *deformation* using this metric. However, we can expect that the RMSD will be small for estimating the motion. In addition to that, we also want to investigate how well each method deals with different scenes. We first pre-select a few scenes and generate a large set of sequences for each scene. Then for each sequence, we estimate the motion and combine it to create a new image. We then select a similar scene and infer the deformation using the estimated motion. We randomly generate a number of sequences for this task. The results of this experiment are depicted in Fig. [fig:result1]. Each column of Fig. [fig:result1] depicts the performance for a single sequence with the RMSD value plotted for various methods. We can see that Twixtor does quite well in this experiment, even in comparison to the non-local methods. The main drawback of non-local methods is that they are not scale aware and they assume a fixed relationship between the frames [@Choi2016]. These methods may provide a good estimation for a particular frame, but these frame-to-frame correlations are often not consistent. We try to address this limitation by providing the user with the opportunity to fine-tune the non-local estimation. The user is presented with a set of frame-to-frame offsets, which the user may choose to remove or keep in the final estimation. These results are also shown in Fig. [fig:result1]. In Fig. [fig:result1], we can see that the non-local method is robust against the removal of the non-local computations. However, the scale compensation and the residual corrections are not as effective. Estimating Deformation ---------------------- In addition to motion estimation, our second application is to estimate the deformation between the frames. Many methods have been proposed in this context [@rowe2011high 847798691e