Given sparse depths and the corresponding RGB images, depth completion aims at spatially propagating the sparse measurements throughout the whole image to get a dense depth …
Depth completion deals with the problem of recovering dense depth maps from sparse ones, where color images are often used to facilitate this task. Recent approaches mainly focus on …
Z Xie, X Yu, X Gao, K Li, S Shen - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
Depth completion aims to recover pixelwise depth from incomplete and noisy depth measurements with or without the guidance of a reference RGB image. This task attracted …
We propose a method to infer a dense depth map from a single image, its calibration, and the associated sparse point cloud. In order to leverage existing models (teachers) that …
Z Yan, K Wang, X Li, Z Zhang, G Li… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Depth information is a significant ingredient to visually perceive the physical world. However, mainstream depth sensors, eg, time-of-flight (ToF) cameras, often measure …
Unsupervised depth completion aims to recover dense depth from the sparse one without using the ground-truth annotation. Although depth measurement obtained from LiDAR is …
In this paper, we formulate a potentially valuable panoramic depth completion (PDC) task as panoramic 3D cameras often produce 360∘ depth with missing data in complex scenes. Its …
Y Wang, Y Mao, Q Liu, Y Dai - IEEE Transactions on Circuits …, 2023 - ieeexplore.ieee.org
RGB-guided depth completion aims at predicting dense depth maps from sparse depth measurements and corresponding RGB images, where how to effectively and efficiently …
K Zheng, J Huang, M Zhou, D Hong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Pansharpening is a procedure that fuses high-resolution panchromatic (PAN) images and low-resolution multispectral (LMS) images to derive high-resolution multispectral (HMS) …