depth reconstruction 1disparity estimation 1epipolar image processing 1fourier-based feature learning 1light-field imaging 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
Frequency-Structured Field Learning for Light-Field Disparity Estimation
Sara Monji-Azad, Yulin Liu, Jürgen Hesser
The paper proposes a new method, FreqLF, that estimates depth from light‑field images by learning a latent field of epipolar‑image features using a combination of global Fourier up…
cs.CV2026
Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural network
Wenzhao Zhao, Barbara D. Wichtmann, Steffen Albert +3
Group-equivariant convolutional neural networks (G-CNN) heavily rely on parameter sharing to increase CNN's data efficiency and performance. However, the parameter-sharing strategy…