Robot grabbing and recognition based on point cloud - Code World

Robot grabbing and recognition based on point cloud

Enterprise 2023-09-29 23:19:40 views: null

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Origin blog.csdn.net/cocapop/article/details/132790893

Robot grabbing and recognition based on point cloud

"Point cloud recognition" 3D object recognition based on corresponding grouping

APP cloud point robot Source

Point cloud intelligent robot platform app

3D point cloud recognition

3D point cloud recognition

Based OCR recognition Baidu cloud (Python)

Target recognition and positioning based on point clouds and images, as well as target deduplication

Robot Grabbing Series - CBAM Attention Mechanism

Segmentation algorithm based on the point cloud surface RANSAC

Matlab extracts point cloud based on index

Point cloud segmentation based on PCL region growing

[Point Cloud Segmentation] Segmentation based on minimum cut

[Point cloud segmentation] Segmentation based on normal difference

3D face recognition-point cloud into a trainable picture

"Point cloud recognition" implicit model ISM (Implicit Shape Model)

Robotic arm grabbing process based on fisheye camera

Point cloud processing based on Open3D 6-point cloud denoising

Point cloud processing based on Open3D 11-3D point cloud surface reconstruction

Robot hand-eye calibration based on OpenCv (9-point calibration method) "Reprinted"

Point cloud processing record record based on spatial grid

PF-Net is a point cloud completion network based on deep learning

Point Cloud Processing Method Based on Cubic Spline Interpolation

Point cloud-based concave envelope acquisition method and Matlab implementation

Laser SLAM positioning of NDT based on known point cloud map

[Point cloud segmentation] Color-based region growing segmentation

Figure skating bone point action recognition based on PaddleVideo 2s-AGCN

C++ PCL 3D point cloud object target recognition

A Simplified 3D Point Cloud Lane Automatic Recognition and Labeling Some Thoughts

UniRepLKNet: A universal perceptual large kernel ConvNet for audio, video, point cloud, time series and image recognition

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