PL-GM:RGB-D SLAM With a Novel 2D and 3D Geometric Constraint Model of Point and Line Features
IEEE Access, 2021 In the study of RGB-D SLAM (Simultaneous Localization and Mapping), two types of primary visual features, point and line features, have been widely utilized to calculate the camera pose.
Chenyang Zhang
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A deep learning model for rapid classification of tea coal disease
Plant Methods, 2023 Background The common tea tree disease known as “tea coal disease” (Neocapnodium theae Hara) can have a negative impact on tea yield and quality. The majority of conventional approaches for identifying tea coal disease rely on observation with the human ...
Yang Xu +10 more
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Beyond range sensing: XYZ-RGB digitizing and modeling
Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), 2002 Discusses the progress and the evolution of the development of range sensing techniques at the NRC laboratories. Essentially a 3D imaging project at the beginning, it has evolved to a new media project which requires the development of new tools for 3D modeling, editing, database searching and visualization.
Rioux, Marc +5 more
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Aplikasi Analisis Multivariat Berdasarkan Warna untuk Memprediksi Brix dan pH pada Pisang
Agritech, 2017 In this research, Multiple Linear Regression (MLR) model was used to predict Brix and pH of banana based on RGB and Lab color values. Banana samples varied in color and ripening level from less ripen to ripen.
Yohanita Maulina Akbar +2 more
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Robust Intrinsic and Extrinsic Calibration of RGB-D Cameras [PDF]
, 2018 Color-depth cameras (RGB-D cameras) have become the primary sensors in most robotics systems, from service robotics to industrial robotics applications.
Basso, Filippo +2 more
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AN RGB-D DATA PROCESSING FRAMEWORK BASED ON ENVIRONMENT CONSTRAINTS FOR MAPPING INDOOR ENVIRONMENTS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 The adoption of RGB and depth (RGB-D) sensors for surveying applications (i.e., building information modeling [BIM], indoor navigation, and three-dimensional [3D] models) to replace expensive and time-consuming methods (e.g., stereo cameras, laser ...
W. Darwish +5 more
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INDOOR SEMANTIC SEGMENTATION FROM RGB-D IMAGES BY INTEGRATING FULLY CONVOLUTIONAL NETWORK WITH HIGHER-ORDER MARKOV RANDOM FIELD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Indoor scenes have the characteristics of abundant semantic categories, illumination changes, occlusions and overlaps among objects, which poses great challenges for indoor semantic segmentation.
J. Yang, Z. Kang
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Multimodal Background Modeling Using RGB-Depth Features [PDF]
, 2014 This paper presents a method of background subtraction that uses multimodal information, specifically depth and appearance cues, to robustly separate the foreground in dynamic indoor scenes. To this end, RGB-Depth data from a Microsoft Kinect sensor are exploited.
Rim Trabelsi +3 more
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Lithium abundances along the RGB: FLAMES-GIRAFFE spectra of a large sample of low-mass Bulge stars [PDF]
, 2011 Context: A small number of K-type giants on the red giant branch (RGB) is known to be very rich in lithium (Li). This fact is not accounted for by standard stellar evolution theory.
Alcalá +55 more
core +4 more sources
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis [PDF]
Computer Vision and Pattern Recognition, 2016 Recent approaches in depth-based human activity analysis achieved outstanding performance and proved the effectiveness of 3D representation for classification of action classes. Currently available depth-based and RGB+Dbased action recognition benchmarks
Amir Shahroudy, Jun Liu, T. Ng, G. Wang
semanticscholar +1 more source