Image to Point Cloud Registration
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Benchmarks
KITTI
Most implemented
Implicit Correspondence Learning for Image-to-Point Cloud Registration
TFCT-I2P: Three stream fusion network with color aware transformer for image-to-point cloud registration
Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark
Colmap-PCD: An Open-source Tool for Fine Image-to-point cloud Registration
Papers
CA-I2P: Channel-Adaptive Registration Network with Global Optimal Selection
Detection-free methods typically follow a coarse-to-fine pipeline, extracting image and point cloud features for patch-level matching and refining dense pixel-to-point correspondences. However, differences in feature cha…
global-optimizationImage to Point Cloud RegistrationPoint Cloud RegistrationBridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment
The method for image-to-point cloud registration typically determines the rigid transformation using a coarse-to-fine pipeline. However, directly and uniformly matching image patches with point cloud patches may lead to …
Image to Point Cloud RegistrationPoint Cloud RegistrationGraphI2P: Image-to-Point Cloud Registration with Exploring Pattern of Correspondence via Graph Learning
Although the fusion of images and LiDAR point clouds is crucial to many applications in computer vision, the relative poses of cameras and LiDAR scanners are often unknown. The general registration pipeline first est…
Graph LearningGraph Neural NetworkImage to Point Cloud RegistrationPoint Cloud Registration+1Implicit Correspondence Learning for Image-to-Point Cloud Registration
Image-to-point cloud registration aims to estimate the camera pose of a given image within a 3D scene point cloud. In this area, matching-based methods have achieved leading performance by first detecting the overlap…
Image to Point Cloud RegistrationPoint Cloud RegistrationTrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes
We tackle the problem of localizing the traffic surveillance cameras in cooperative perception. To overcome the lack of large-scale real-world intersection datasets, we introduce Carla Intersection, a new simulated datas…
Contrastive LearningImage to Point Cloud RegistrationPoint Cloud RegistrationTFCT-I2P: Three stream fusion network with color aware transformer for image-to-point cloud registration
Along with the advancements in artificial intelligence technologies, image-to-point-cloud registration (I2P) techniques have made significant strides. Nevertheless, the dimensional differences in the features of points c…
Image to Point Cloud RegistrationPoint Cloud Registration