Results 241 to 250 of about 147,931 (292)
Early identification of glufosinate-resistant soybeans using plant image analysis. [PDF]
Front Plant SciYook MJ, Chang BK, Noh TK, Kim DS.
europepmc +1 more source
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2011
The method of forming of the differential coloured models for the improvement of indexes of compression of RGB-images without losses by using predictors is offered. The fragments of the programs in C language for the calculation of parameters of such coloured models for large images are presented.
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The method of forming of the differential coloured models for the improvement of indexes of compression of RGB-images without losses by using predictors is offered. The fragments of the programs in C language for the calculation of parameters of such coloured models for large images are presented.
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RGB × D: Learning depth-weighted RGB patches for RGB-D indoor semantic segmentation
Neurocomputing, 2021Daniel Cohen-Or +2 more
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IEEE Transactions on Visualization and Computer Graphics, 2009
We introduce the RGB Subdivision: an adaptive subdivision scheme for triangle meshes, which is based on the iterative application of local refinement and coarsening operators, and generates the same limit surface of the Loop subdivision, independently on the order of application of local operators.
PUPPO, ENRICO, D. PANOZZO
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We introduce the RGB Subdivision: an adaptive subdivision scheme for triangle meshes, which is based on the iterative application of local refinement and coarsening operators, and generates the same limit surface of the Loop subdivision, independently on the order of application of local operators.
PUPPO, ENRICO, D. PANOZZO
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Child Action Recognition in RGB and RGB-D Data
Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020The paper presents an ongoing work that aims for real-time action recognition specifically tailored for child-centered research. To this end, we collected and annotated a dataset of 200 primary school children aged 6 to 11 years old. Each child was asked to perform seven actions: boxing, waving, clapping, running, jogging, walking towards the camera ...
Aizada Turarova +4 more
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Toward a Unified Framework for RGB and RGB-D Visual Navigation
2023In object-goal navigation, an agent is steered toward a target object based on its observations. The solution pipeline is usually composed of scene representation learning and navigation policy learning: the former reflects the agent observation, and the latter determines the navigation action.
Heming Du +3 more
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Domain adaptation from RGB-D to RGB images
Signal Processing, 2017The introduction of depth cameras offers an opportunity to utilize the depth images to help the object recognition tasks. However, when our target tasks are classifying RGB images, how can we use the RGB-D images? To deal with this problem, we proposed a novel domain adaptation method by learning from RGB-D images in source domain to recognize RGB ...
Xiao Li 0008 +3 more
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Developments in RGB Photoelasticity
Applied Mechanics and Materials, 2006In this paper the combined use of both RGB and phase stepping photoelasticity is proposed. The method is characterised by the following features: maximum measurable order greater than that of the RGB method, ability to determine the total fringe order without necessity of unwrapping.
AJOVALASIT, Augusto, PETRUCCI, Giovanni
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Recognizing RGB Images by Learning from RGB-D Data
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014In this work, we propose a new framework for recognizing RGB images captured by the conventional cameras by leveraging a set of labeled RGB-D data, in which the depth features can be additionally extracted from the depth images. We formulate this task as a new unsupervised domain adaptation (UDA) problem, in which we aim to take advantage of the ...
Lin Chen 0021, Wen Li 0001, Dong Xu 0001
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Learning Coupled Classifiers with RGB images for RGB-D object recognition
Pattern Recognition, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiao Li 0008 +3 more
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