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 …
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 …
A state‐of‐the‐art review on mapping and localization of mobile robots using omnidirectional vision sensors
Nowadays, the field of mobile robotics is experiencing a quick evolution, and a variety of
autonomous vehicles is available to solve different tasks. The advances in computer vision …
autonomous vehicles is available to solve different tasks. The advances in computer vision …
Automatic robot Manoeuvres detection using computer vision and deep learning techniques: a perspective of internet of robotics things (IoRT)
To minimize any impediments in real-time Internet of Things (IoT)-enabled robotics
applications, this study demonstrated how to build and deploy a revolutionary framework …
applications, this study demonstrated how to build and deploy a revolutionary framework …
LMR: Learning a two-class classifier for mismatch removal
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 …
features, is a critical prerequisite in a wide spectrum of vision-based tasks. Existing attempts …
Robust feature matching using spatial clustering with heavy outliers
This paper focuses on removing mismatches from given putative feature matches created
typically based on descriptor similarity. To achieve this goal, existing attempts usually …
typically based on descriptor similarity. To achieve this goal, existing attempts usually …
A deep-network solution towards model-less obstacle avoidance
Obstacle avoidance is the core problem for mobile robots. Its objective is to allow mobile
robots to explore an unknown environment without colliding into other objects. It is the basis …
robots to explore an unknown environment without colliding into other objects. It is the basis …
Nonrigid point set registration with robust transformation learning under manifold regularization
This paper solves the problem of nonrigid point set registration by designing a robust
transformation learning scheme. The principle is to iteratively establish point …
transformation learning scheme. The principle is to iteratively establish point …
Vision-guided aerial manipulation using a multirotor with a robotic arm
This paper presents a vision guidance approach using an image-based visual servo (IBVS)
for an aerial manipulator combining a multirotor with a multidegree of freedom robotic arm …
for an aerial manipulator combining a multirotor with a multidegree of freedom robotic arm …
Robotic online path planning on point cloud
M Liu - IEEE transactions on cybernetics, 2015 - ieeexplore.ieee.org
This paper deals with the path-planning problem for mobile wheeled-or tracked-robot which
drive in 2.5-D environments, where the traversable surface is usually considered as a 2-D …
drive in 2.5-D environments, where the traversable surface is usually considered as a 2-D …