Automated Registration of Prior Point Clouds with Roadside Camera Images for Enhanced Downstream Vision Tasks
An automated framework for registering prior point clouds with roadside camera images, utilizing efficient rendering techniques and robust feature extraction to achieve high-accuracy alignment, enabling enhanced performance in downstream vision tasks such as 3D object detection.
FreeReg: Robust Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
FreeReg enables accurate and robust image-to-point cloud registration by unifying the modalities of images and point clouds using pretrained diffusion models and monocular depth estimators, without requiring any training on the registration task.
A Three-Stream Fusion Network with Color-Aware Transformer for Robust Image-to-Point Cloud Registration
The proposed TFCT-I2P method effectively integrates color information from images with structural information from point clouds, enabling better alignment of features across modalities and improving the overall accuracy and robustness of image-to-point cloud registration.
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