Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...
Abstract: 17-point algorithm is a popular method in relative pose estimation of multi-cameras. However, the role of overlap in 17-point algorithm remains unexplored. And the relaxed way in solving ...
Abstract: Submerged aquatic vegetation (SAV) is crucial for maintaining a clear-water state in lakes. Tracking the spatiotemporal changes in SAV is crucial for understanding the ecological evolution, ...
Abstract: LiDAR point cloud data is essential in autonomous driving, robotic navigation, and 3D modeling. However, noise caused by sensor errors and environmental factors degrades data quality and ...
Abstract: Due to the ubiquity of missing data, data imputation has received extensive attention in the past decades. It is a well-recognized problem impacting almost all fields of scientific study.
Abstract: Point cloud alignment plays a crucial role in numerous fields and applications, enabling the integration, analysis, and reconstruction of 3D data. SAmple Consensus Initial Alignment (SAC-IA) ...
Abstract: In this paper, we investigate the methods of multitarget tracking in imaging process, focusing on both point targets and extended targets. Point target imaging is characterized by low signal ...
Abstract: With the increasing demand of high-precision data acquisition card in application, noise suppression in the process of signal acquisition becomes very important. The existence of noise will ...
Abstract: Nonlinearities of inductor’s soft magnet, converter’s time-varying mode and control delays limit the grid-side power quality improvement capability of interleaved boost Power Factor ...
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