We propose a deep learning framework by the probability of the predicting semantic spatial
position distribution for remote sensing image registration. Traditional matching methods …

This study proposes a novel feature-guided Gaussian mixture model (FG-GMM) for image
matching, which generally requires matching two sets of feature points extracted from the …

Multispectral imaging plays a vital role in the area of computer vision and computational
photography. As spectral band images can be misaligned due to imaging device movement …

The Fourier-based image correlation technique has been widely concerned due to its
accuracy, efficiency, and robustness to image contrast and brightness. Accordingly, a variety …

We present AMOS Patches, a large set of image cut-outs, intended primarily for the
robustification of trainable local feature descriptors to illumination and appearance changes …

In the thesis we consider the problem of local feature descriptor learning for wide baseline
stereo focusing on the HardNet descriptor, which is close to state-of-the-art. AMOS Patches …

Uvažujeme problém učení lokálního deskriptoru pro wide baseline stereo, zaměřeujeme se
na deskriptor HardNet, který je blízko state-of-the-art. Představujeme datový soubor AMOS …

With the thermal cameras becoming more affordable there is an increase in the number of
potential use cases such as pedestrian detection, visual odometry, leakage detection etc …