For image registration, feature detection and description are critical steps that identify the
keypoints and describe them for the subsequent matching to estimate the geometric …

Virtual reality (VR) offers an artificial, computer generated simulation of a real life
environment. It originated in the 1960s and has evolved to provide increasing immersion …

In this paper, we propose a novel benchmark for evaluating local image descriptors. We
demonstrate that the existing datasets and evaluation protocols do not specify …

Homography estimation between multiple aerial images can provide relative pose
estimation for collaborative autonomous exploration and monitoring. The usage on a robotic …

Homography estimation is a basic image alignment method in many applications. It is
usually conducted by extracting and matching sparse feature points, which are error-prone …

Feature matching, which refers to establishing reliable correspondence between two sets of
features, is a critical prerequisite in a wide spectrum of vision-based tasks. Existing attempts …

We propose a learning approach to corner detection for event-based cameras that is stable
even under fast and abrupt motions. Event-based cameras offer high temporal resolution …

Improving the geo-localization of optical satellite images is an important pre-processing step
for many remote sensing tasks like monitoring by image time series or scene analysis after …

Semantic keypoints provide concise abstractions for a variety of visual understanding tasks.
Existing methods define semantic keypoints separately for each category with a fixed …

We introduce a novel CNN-based feature point detector-Greedily Learned Accurate Match
Points (GLAMpoints)-learned in a semi-supervised manner. Our detector extracts …