25 years ago, Jianbo Shi introduced Normalized Cuts (spectral clustering), a graph-theoretic approach to perceptual grouping that became a staple in unsupervised image segmentation. While the original ...
Trump signals backing of direct $1,500 payments for millions of Americans 2 huge earthquakes strike within days. Is it a warning? While Trump got the 'FIFA Peace Prize,' something truly great happened ...
Abstract: The application of real-time visual tracking in laparoscopic surgery has gained significant attention in recent years, driven by the growing demand for precise and automated surgical ...
Abstract: Mobile robots rely on Visual Simultaneous Localization and Mapping (SLAM) as their primary technology. However, in environments with dynamic lighting changes, current state-of-the-art visual ...
Abstract: Due to the sparse underwater textures, pure visual simultaneous localization and mapping (SLAM) is limited, restricting the localization ability of underwater robots. To improve the ...
Abstract: The challenges in uncrewed aerial vehicle (UAV) visual geo-localization primarily stem from discrepancies between satellite maps and aerial images, including scale variations, viewpoint ...
Abstract: Simultaneous localization and mapping (SLAM) is widely used in various fields, such as unmanned driving, robotics, and VR. The SLAM system with multiple landmarks is also a research hotspot ...
Abstract: Mainstream visual-inertial SLAM systems use point features for motion estimation and localization. However, point features do not perform well in scenes such as weak texture and motion blur.
Abstract: The performance of a visual SLAM system based on point features significantly diminishes in low-textured environments due to the challenges in extracting sufficient and reliable points. The ...
Abstract: In recent years, there has been a rapid growth in applications that rely on point clouds to represent the 3D world, driven by the increasing demand for immersive and other related scenarios.
Abstract: Visual-inertial odometry (VIO) utilizing point and line features has become prevalent for state estimation in structured environments. The robustness of line segment detection and the ...
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