Automatic remote sensing image registration has achieved great accomplishment. However,
it is still a vital challenging problem to develop a robust and accurate registration method …

In feature based image matching, distinctive features in images are detected and
represented by feature descriptors. Matching is then carried out by assessing the similarity of …

During the last few years, artificial intelligence based on deep learning, and particularly
based on convolutional neural networks, has acted as a game changer in just about all tasks …

Feature-based matching methods have been widely used in remote sensing image
matching given their capability to achieve excellent performance despite image geometric …

Feature based image matching has been a research focus in photogrammetry and computer
vision for decades, as it is the basis for many applications where multi-view geometry is …

Techniques for detecting anomalies in multispectral image data, and more specifically for
detecting presentation attacks by using multispectral image data in biometric security …

Convolutional neural network (CNN) is a powerful tool for many data applications. However,
its high dimension nature, large network size and computational complexity, and the need of …

Many operations of vision require image regions to be isolated and inter-related. This is
challenging when they are different in detail and extent. Practical methods of Computer …

Abstract (DE) Im Bereich der Industrieisolierung ist das Handaufmaß gängige Praxis, um
Rohrleitungsgeometrien zu erfassen und anschließend eine passende Dämmung zu …

Adding an image descriptor to the input significantly enhances the performance of a
convolutional neural network. By incorporating Speeded Up Robust Feature (SURF) …