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What Color Is Your Method? Adaptation of the RGB Additive Color Model to Analytical Method Evaluation.

Analytical Chemistry, 2019
Evaluation of an analytical method is a fundamental problem in analytical chemistry, and it is never straightforward. In this article we show a perspective for facing this issue using an original tool.
P. Nowak, P. Kościelniak
semanticscholar   +1 more source

Information Retrieval in the Age of Generative AI: The RGB Model

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
The advent of Large Language Models (LLMs) and generative AI is fundamentally transforming information retrieval and processing on the Internet, bringing both great potential and significant concerns regarding content authenticity and reliability.
M. Garetto   +5 more
semanticscholar   +1 more source

Time-Variant RGB Model for Minimal Cell Allocation and Scheduling in 6TiSCH Networks

IEEE Transactions on Mobile Computing
IEEE has standardized the 802.15.4e Time Slotted Channel Hopping (TSCH) mode to provide stringent latency, higher reliability, and low duty-cycle in various Internet of Things (IoT) applications.
Alakesh Kalita, M. Khatua
semanticscholar   +1 more source

Vegetation Index Weighted Canopy Volume Model (CVMVI) for soybean biomass estimation from Unmanned Aerial System-based RGB imagery

Isprs Journal of Photogrammetry and Remote Sensing, 2019
Crop biomass estimation with high accuracy at low-cost is valuable for precision agriculture and high-throughput phenotyping. Recent technological advances in Unmanned Aerial Systems (UAS) significantly facilitate data acquisition at low-cost along with ...
M. Maimaitijiang   +9 more
semanticscholar   +1 more source

C²Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detection

IEEE Transactions on Geoscience and Remote Sensing, 2023
Object detection on visible (RGB) and infrared (IR) images, as an emerging solution to facilitate robust detection for around-the-clock applications, has received extensive attention in recent years. With the help of IR images, object detectors have been
Maoxun Yuan, Xingxing Wei
semanticscholar   +1 more source

Hierarchical multi-modal fusion FCN with attention model for RGB-D tracking

Information Fusion, 2019
In this paper, we propose a RGB-D tracking algorithm, built upon hierarchical multi-modal fusion fully convolutional neural network (FCN) with attention model.
Ming-Xin Jiang   +5 more
semanticscholar   +1 more source

RGB-D SLAM Based Incremental Cuboid Modeling

2019
This paper present a framework for incremental 3D cuboid modeling combined with RGB-D SLAM. While performing RGB-D SLAM, planes are incrementally reconstructed from point clouds. Then, cuboids are detected in the planes by analyzing the positional relationships between the planes; orthogonality, convexity, and proximity. Finally, the position, pose and
Masashi Mishima   +6 more
openaire   +1 more source

RGB-D fusion models for construction and demolition waste detection

Waste Management, 2022
The development of urbanization has brought a large amount of construction and demolition waste (CDW), which occupy land and cause adverse ecological effects. To effectively solve the negative impact of CDW, it needs to be recycled. Accurate waste classification is key to successful waste management.
Jiantao Li   +5 more
openaire   +2 more sources

Large-Scale Gesture Recognition With a Fusion of RGB-D Data Based on Saliency Theory and C3D Model

IEEE transactions on circuits and systems for video technology (Print), 2018
Gesture recognition has raised wide attention in computer vision owing to its many applications. However, the task of video-based large-scale gesture recognition yet faces many challenges, since many gesture-irrelevant factors like the background may ...
Yunan Li   +6 more
semanticscholar   +1 more source

Shadow Detection Based on rgb Color Model

2006
A shadow detection scheme based on photometric invariant rgb color model is proposed. We firstly study the photometric invariance of rgb color model and deduce some important property. The algorithm combines the cues of moving cast shadow on brightness and chromaticity successively to detect candidate shadow regions in rgb color space; finally, a post ...
Baisheng Chen, Duansheng Chen
openaire   +1 more source

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