PoseNet6D stands at the intersection of deep learning and geometric methods, offering a sophisticated solution for 6D pose estimation of objects using RGB-D sensors. By seamlessly integrating the ...

Traditional single-viewpoint algorithms have limitations in target perception in 3D scenes, while computer vision technology based on multi-viewpoints can provide more comprehensive and accurate ...

In most RFID localization systems, acquiring a reader antenna's position at each sampling time is challenging, especially for those antenna-carrying robot or drone systems with unpredictable ...

Traditional computer vision systems often struggle with precise spatial localization, particularly when converting conceptual object recognition into accurate coordinate mapping. While these systems ...

Computer vision has seen remarkable progress in the last decade, fueled by the ready availability of large online image collections, rapid growth of computational power, and advances in ...

Among the algorithms, an algorithm based on binocular stereoscopic 3D reconstruction mainly focuses on visual stereo matching and fruit feature point extraction in complex orchard environments. 3D ...