The inner leaves of crop canopies are obscured by outer branches and leaves, leading to
information loss and observation difficulty of the occluded canopy structure using modern …

For a long time, the detection and extraction of printed surface defects has been a hot issue
in the print industry. Nowadays, defect detection of a large number of products still relies on …

With the development of applications related to image processing technology, the target
requirements of data acquisition and analysis systems are constantly being optimized …

Image clustering is a research hotspot in machine learning and computer vision. Existing
graph-based semi-supervised deep clustering methods suffer from three problems: 1) …

With the increasing usage of cloud computing in many fields, concerns about the secrecy of
data storage in the cloud have been growing. Many types of data are stored in cloud …

Vehicle detection is a research direction in the field of target detection and is widely used in
intelligent transportation, automatic driving, urban planning, and other fields. To balance the …

This study aims addresses the challenge of gesture recognition in smart sports stadiums
through the fusion enhancement of YOLOv5 and Copula Bayesian Classifier algorithm. By …

Intelligent navigation and recognition technology have continuously improved the field of
image matching, so how to achieve more efficient and accurate feature matching is the key …

The images generated by the image stitching algorithm have false shadow and poor real-
time performance, and are difficult to maintain visual consistency. For this reason, a …

Autonomous driving is becoming the most important implementation scenario of deep
learning and a key technology affecting the industry. Sensors are the key to perception of the …