A review of multimodal image matching: Methods and applications
Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …
similar structure/content from two or more images that are of significant modalities or …
Unmanned Aerial Vehicle-Based Photogrammetric 3D Mapping: A survey of techniques, applications, and challenges
Three-dimensional mapping is an increasingly important feature for recent photogrammetry
and remote sensing (RS) systems. Currently, unmanned aerial vehicles (UAVs) have …
and remote sensing (RS) systems. Currently, unmanned aerial vehicles (UAVs) have …
[HTML][HTML] Image matching from handcrafted to deep features: A survey
As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …
then correspond the same or similar structure/content from two or more images. Over the …
Generalizable patch-based neural rendering
Neural rendering has received tremendous attention since the advent of Neural Radiance
Fields (NeRF), and has pushed the state-of-the-art on novel-view synthesis considerably …
Fields (NeRF), and has pushed the state-of-the-art on novel-view synthesis considerably …
D2-net: A trainable cnn for joint description and detection of local features
In this work we address the problem of finding reliable pixel-level correspondences under
difficult imaging conditions. We propose an approach where a single convolutional neural …
difficult imaging conditions. We propose an approach where a single convolutional neural …
From coarse to fine: Robust hierarchical localization at large scale
Robust and accurate visual localization is a fundamental capability for numerous
applications, such as autonomous driving, mobile robotics, or augmented reality. It remains …
applications, such as autonomous driving, mobile robotics, or augmented reality. It remains …
Learning two-view correspondences and geometry using order-aware network
Establishing correspondences between two images requires both local and global spatial
context. Given putative correspondences of feature points in two views, in this paper, we …
context. Given putative correspondences of feature points in two views, in this paper, we …
Image matching across wide baselines: From paper to practice
We introduce a comprehensive benchmark for local features and robust estimation
algorithms, focusing on the downstream task—the accuracy of the reconstructed camera …
algorithms, focusing on the downstream task—the accuracy of the reconstructed camera …
D2-net: A trainable cnn for joint detection and description of local features
In this work we address the problem of finding reliable pixel-level correspondences under
difficult imaging conditions. We propose an approach where a single convolutional neural …
difficult imaging conditions. We propose an approach where a single convolutional neural …
Kornia: an open source differentiable computer vision library for pytorch
This work presents Kornia--an open source computer vision library which consists of a set of
differentiable routines and modules to solve generic computer vision problems. At its core …
differentiable routines and modules to solve generic computer vision problems. At its core …