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In this paper, we propose an approach of visual SLAM (Simultaneous localization and mapping) system, in which we build 3D scene models and estimate the camera poses at the same time. We detect SURF feature points from RGB images and use their relevant depth data to build 3D correspondences. With these correspondences, we align consecutive frames together using RANSAC, while ICP is performed when RANSAC...
Target recognition is a fundamental research topic in the process of robot grasping. In this paper, we proposed an algorithm framework for object recognition based on local naive Bayes nearest neighbor with Kinect. With the emergence of local invariant feature detection, the method based on local invariant features gradually becomes the mainstream. Object recognition is realized through the feature...
In this study we analyzed a series of LiDAR point clouds acquired over Taijiang district (part of Fujian province, China). The objective was to detect and extract water surface area from individual LiDAR point cloud, in a parallel means. To this end, interactive visualization of fine-grained data, global cluster algorithms, and statistical investigation were applied. We first rasterized point clouds...
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