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 …
Efficient structure from motion for large-scale UAV images: A review and a comparison of SfM tools
Unmanned aerial vehicle (UAV) images have gained extensive attention in varying fields,
and the Structure from Motion (SfM) technique has become the gold standard for aerial …
and the Structure from Motion (SfM) technique has become the gold standard for aerial …
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 …
Infrared and visible image fusion methods and applications: A survey
Infrared images can distinguish targets from their backgrounds based on the radiation
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …
GMS: Grid-based motion statistics for fast, ultra-robust feature correspondence
Incorporating smoothness constraints into feature matching is known to enable ultra-robust
matching. However, such formulations are both complex and slow, making them unsuitable …
matching. However, such formulations are both complex and slow, making them unsuitable …
Locality preserving matching
Seeking reliable correspondences between two feature sets is a fundamental and important
task in computer vision. This paper attempts to remove mismatches from given putative …
task in computer vision. This paper attempts to remove mismatches from given putative …
Vector field-based support vector regression for building energy consumption prediction
Building energy consumption prediction plays an irreplaceable role in energy planning,
management, and conservation. Data-driven approaches, such as artificial neural networks …
management, and conservation. Data-driven approaches, such as artificial neural networks …
Infrared and visible image fusion via gradient transfer and total variation minimization
In image fusion, the most desirable information is obtained from multiple images of the same
scene and merged to generate a composite image. This resulting new image is more …
scene and merged to generate a composite image. This resulting new image is more …
Guided locality preserving feature matching for remote sensing image registration
Feature matching, which refers to establishing reliable correspondences between two sets
of feature points, is a critical prerequisite in feature-based image registration. This paper …
of feature points, is a critical prerequisite in feature-based image registration. This paper …
Robust feature matching for remote sensing image registration via locally linear transforming
Feature matching, which refers to establishing reliable correspondence between two sets of
features (particularly point features), is a critical prerequisite in feature-based registration. In …
features (particularly point features), is a critical prerequisite in feature-based registration. In …