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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 +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, Wen Li, Dong Xu
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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.
Li, Xiao +3 more
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Conversion Matrices from RGB to ROMM/RGB
2010This appendix contains the conversion matrices for various RGB primary sets to ROMM/RGB under illuminant D50.
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Proceedings of the 20th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2016
This paper presents an image-based rendering (IBR) system based on RGB-D images. The input of our system consists of RGB-D images captured at sparse locations in the scene and can be expanded by adding new RGB-D images. The sparsity of RGB-D images increases the usability of our system as the user need not capture a RGB-D image stream in a single shot,
Yeongyu Jeong +4 more
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This paper presents an image-based rendering (IBR) system based on RGB-D images. The input of our system consists of RGB-D images captured at sparse locations in the scene and can be expanded by adding new RGB-D images. The sparsity of RGB-D images increases the usability of our system as the user need not capture a RGB-D image stream in a single shot,
Yeongyu Jeong +4 more
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Conversion Matrices from RGB to ITU-R.BT.709/RGB
2010This appendix contains the conversion matrices for various RGB primary sets to ITU-R.BT.709/RGB under illuminant D65.
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2018
In this chapter, you look at the color options available in Animate CC, and the tools and panels to assist you when working with color.
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In this chapter, you look at the color options available in Animate CC, and the tools and panels to assist you when working with color.
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