Update: 30 September, 2023
This product is an open source three-dimensional reconstruction system based on the open source ROS framework. The system uses RGB-D cameras to collect depth images and RGB images, and registers and fuses depth images and RGB images to obtain aligned depth images and RGB images. Then, the point cloud segmentation algorithm is used to segment the three-dimensional point cloud data, and the object and background are segmented. Then, the object recognition algorithm is used to recognize the segmented objects, and the category and 3D coordinates of the objects are recognized. Finally, the visual SLAM algorithm is used to perform SLAM mapping on the 3D point cloud data to obtain a 3D map. The system can realize real-time online three-dimensional reconstruction, can identify objects in the scene, and can perform SLAM mapping of the scene.
File format: PDF
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MD5 Checksum: D95EBB21AC7BDBAFD45A8657EA80618F
Publication date: 04 July, 2012
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PDF Link: Agilent ZORBAX Extend-C18 Datasheet PDF