This article addresses the connected-component labeling problem which consists in
assigning a unique label to all pixels of each connected component (ie, each object) in a …

Microstructural characterization and analysis is the foundation of microstructural science,
connecting materials structure to composition, process history, and properties …

Dynamic locomotion in rough terrain requires accurate foot placement, collision avoidance,
and planning of the underactuated dynamics of the system. Reliably optimizing for such …

Visualization and analysis tools, techniques, and algorithms have undergone a rapid
evolution in recent decades to accommodate explosive growth in data size and complexity …

Labeling of connected components in a binary image is one of the most fundamental
operations in pattern recognition: labeling is required whenever a computer needs to …

This paper addresses real-time moving object detection with high accuracy in high-
resolution video frames. A previously developed framework for moving object detection is …

Connected Components Labeling is an essential step of many Image Processing and
Computer Vision tasks. Since the first proposal of a labeling algorithm, which dates back to …

Graph component labelling, which is a subset of the general graph colouring problem, is a
computationally expensive operation that is of importance in many applications and …

LiDAR panoptic segmentation is a newly proposed technical task for autonomous driving. In
contrast to popular end-to-end deep learning solutions, we propose a hybrid method with an …

As scientific instruments and computer simulations produce more and more data, the task of
locating the essential information to gain insight becomes increasingly difficult. FastBit is an …