CalibNet
3D Transformation Calibration
This is an implementation of a method for calibrating 3D spatial transformations in computer vision using self-supervised extrinsic calibration.
[DEPRECATED] Self-Supervised Extrinsic Calibration using 3D Spatial Transformer Networks
215 stars
19 watching
57 forks
Language: Python
last commit: over 1 year ago
Linked from 2 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
| Automated calibration system for 3D LiDAR and camera extrinsic parameters using laser reflectance intensity | 433 |
| An implementation of self-calibration using cost volume network for LiDAR and camera data | 97 |
| Automatically calibrates LiDAR camera extrinsics based on RGB images and depth projections using deep neural networks. | 30 |
| Develops a method for calibrating stereo cameras with different resolutions to enable image superposition and 3D reconstruction | 56 |
| Tools and algorithms for extrinsic calibration of 3D LiDAR and camera systems | 365 |
| An implementation of a 3D convolutional neural network based on the AlexNet architecture for image recognition in 3D data. | 42 |
| An implementation of Spatial Transformer Networks in TensorFlow for learning to apply transformations to images via classification tasks. | 36 |
| A deep neural network implementation for real-time semantic segmentation in computer vision | 257 |
| This project proposes a novel method for calibrating attention distributions in multimodal models to improve contextualized representations of image-text pairs. | 30 |
| A Matlab toolbox for finding the transformation from a camera to a robotic arm base by minimizing differences in projected checkerboard positions. | 80 |
| A tool for automatically calibrating the camera and LiDAR of robots or vehicles using real-world image and point cloud data. | 279 |
| Automatically inferring 2D and 3D change detection maps from bitemporal optical images without relying on DSMs. | 29 |
| A library for serializing and deserializing data structures into strings, mappings, and lists while performing validation. | 451 |
| Reconstructs human 3D models from monocular images using a feedback loop to improve pose and shape estimation | 600 |
| A software package for extrinsic calibration of LiDAR-camera systems using plane-constrained bundle adjustment and structure from motion | 54 |