Pixel-aligned RGB-NIR Stereo Imaging and Dataset for Robot VisionJinnyeong Kim Seung-Hwan BaekPOSTECHAbstractIntegrating RGB and NIR stereo imaging provides com-plementary spectral information, potentially enhancingrobotic 3D vision in challenging lighting conditions. How-ever, existing datasets and imaging...
python深色版本 1import torch 2import torchvision 3from torchvision.models.detection.faster_rcnn import FastRCNNPredictor 4import cv2 5import numpy as np 6from PIL import Image 7import json 8 9# 数据集路径 10dataset_path = 'path/to/agricultural_anomaly_dataset/' 11subset = 'test' # 可以选择...
RGBD1K: A Large-Scale Dataset and Benchmark for RGB-D Object Tracking. Xue-Feng Zhu, Tianyang Xu, Zhangyong Tang, ZuchengWu, Haodong Liu, Xiao Yang, Xiao-Jun Wu, Josef Kittler. AAAI 2023. RGBD1K. [Paper] [Code]. Exploring fusion strategies for accurate RGBT visual object tracking. Zha...
In order to evaluate the proposed algorithm, different experiments on a RGBN outdoor dataset are conducted, which include various challenging cases. The obtained result shows the challenge and the importance of addressing color restoration in single sensor multispectral images....
3. MR-NIR-CAR数据集 文章首次将MR-NIR-CAR数据集引入rPPG任务中,这是一个在驾驶环境下采集到的数据集,同时包含RGB视频和NIR视频,并在手指使用脉搏血氧计记录ground truth。数据集概况如下图所示: MR-NIR-CAR数据集computationalimaging.rice.edu/mr-nirp-dataset/ MR-NIR-CAR数据集展示发布...
Hence, the key contribution of this work is to replace multispectral scene parsing methods with a simple yet effective approach using single NIR images. The benefits of using our algorithm and dataset are confirmed in the qualitative and quantitative experiments. 展开 ...
2.1. Building Dataset In this study, we utilized the commercial software Lumerical FDTD 2022 to simulate the meta-atoms and used the results as our dataset. During the simulation process, the simulation region in the x and y directions was set to periodic boundary conditions, while the z direc...
The dataset presented in Section 4.1 was used to evaluate the performances of the two proposed architectures as well as to compare the results with the aforementioned state-of-the art-approaches. As can be appreciated in Table 1, both network architectures produced similar results. However, when ...
while carefully designed loss functions couple global context understanding with local feature preservation. We performed experiments on the RANUS dataset to demonstrate Pix2Next's advantages in quantitative metrics and visual quality, improving the FID score by 34.81% compared to existing methods. Furthe...
Firstly, an RGB-NIR instance segmentation dataset of white, color, and transparent PE, PP, and PET plastic flakes was produced, which are the main components of low-value recyclable waste. Then PCA and ANOVA were used to analyze the characteristics of the amplitude and band ratio of NIR ...