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Color-Guided Depth Recovery From RGB-D Data Using an Adaptive Autoregressive Model
IEEE Transactions on Image Processing, 2014This paper proposes an adaptive color-guided autoregressive (AR) model for high quality depth recovery from low quality measurements captured by depth cameras. We observe and verify that the AR model tightly fits depth maps of generic scenes. The depth recovery task is formulated into a minimization of AR prediction errors subject to measurement ...
Yang, Jingyu +4 more
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Generic multivariate model for color texture classification in RGB color space
International Journal of Multimedia Information Retrieval, 2014This paper presents a new method for modeling magnitudes of dual-tree complex wavelet coefficients, in the context of color texture classification. Based on the characterization of dependency between RGB color components, Gaussian copula associated with Generalized Gamma marginal function is proposed to design the multivariate generalized Gamma density
Ahmed Drissi El Maliani +3 more
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Individual plant recognition using the RGB color model
Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference, 2010Changes in light intensity cause major difficulties in the plant recognition. In order to solve this problem, we started the development of a plant recognition method, with high efficiency in variable lighting conditions. This will be implemented to an autonomous mobile robot for weed control.
Mihaela Tilneac, Valer Dolga
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Comparison of Fabric Color Naming Using RGB and HSV Color Models
2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2018This paper aims to find an effective method for identifying colors of fabrics. We consider the following color naming models: Basic Color terms, ISCC-NBS Color system, Frery’s Color name, and Fractals Lab’s Ultimate color vocabulary. The appropriate color name is assigned for a fabric image by using seven types of minimum distance in RGB and HSV color ...
Piyapat Charoensawan +2 more
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Study on moving object detection based on RGB color model
2012 2nd International Conference on Applied Robotics for the Power Industry (CARPI), 2012The traditional background difference method is based on gray image. Some information is lost when color image is transformed into gray image. So it is difficult to discriminate different colors with similar gray values and easily disturbed by noise and shadows. In this paper, the background difference is based on RGB color model. It is proposed to use
Chun Yang Liu +2 more
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