Feature detection is a fundamental and important problem in computer vision and image
processing. It is a low-level processing step which serves as the essential part for computer …

Compared with ground views and direct overhead views (for orbital satellites), aerial
robotics allow for capturing videos from diverse viewpoints and scenes, thus, the content of …

Extraction of features can be viewed as a preprocessing step which eliminates distracting
inconsistency from a dataset, so that downstream classifiers or regression estimators …

With the rapid development of network technology, concerns pertaining to the enhancement
of security and protection against violations of digital images have become critical over the …

Histopathological image classification is of great importance in pathological diagnosis, such
as tumor grading and cancer type identification. However, the traditional pathological …

Crime Scene Investigation (CSI) is a carefully planned systematic process with the purpose
of acquiring physicalevidences to shed light upon the physical reality of the crime and …

This paper proposes an improved Retinex theory based on a weighted guided filter method
to enhance images in low-light conditions. The captured images under low illumination can …

Brute force matching of binary image feature descriptors is conventionally performed using
the Hamming distance. The use of alternative metrics is assessed in order to see whether …

We study the statistical characteristics of SURF and BRISK interest points and descriptors,
with the aim of supporting the design of distributed processing across sensor nodes in a …

Monocular visual-inertial measurement unit (IMU) odometry has been widely used in various
intelligent vehicles. As a popular technique, detector-descriptor-based visual-IMU odometry …