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 …

Computer vision is one of the most active research fields in information technology today.
Giving machines and robots the ability to see and comprehend the surrounding world at the …

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 …

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 …

We introduce a novel Deep Network architecture that implements the full feature point
handling pipeline, that is, detection, orientation estimation, and feature description. While …

We introduce a learning-based approach to detect repeatable keypoints under drastic
imaging changes of weather and lighting conditions to which state-of-the-art keypoint …

We introduce a novel approach for keypoint detection that combines handcrafted and
learned CNN filters within a shallow multi-scale architecture. Handcrafted filters provide …

This work focuses on a slice through the field-Computer Vision Metrics–from the view of
feature description metrics, or how to describe, compute and design the macro-features and …

Interest point detection is one of the most fundamental and critical problems in computer
vision and image processing. In this paper, we carry out a comprehensive review on image …

At present, in the application of feature-based medical 3D reconstruction technology, there
are still problems such as low matching accuracy of feature points in endoscope images and …