Data compression with Deep Autoencoder
Initial Situation
- Estimation of wooden log rotation angle by comparison with N reference images
- Loading time of raw reference images too slow for real time system
- Requirement: Decrease loading time, while keeping accuracy

Figure 1: Overall compression and reidentification process
Solution
- Development of Deep Autoencoder for Image compression
- Evaluation of different image compression algorithms for faster loading/storing times
Results
- Faster loading times (x10) by compressing the reference images with the Deep Autoencoder
- Similar accuracy for the rotation estimation
- Concept for improved rotation matching strategy