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RGB Model Based Image Enhancement Technique for Steganography
2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2018A color image is constructed of various arrays of the same scene, one for every spectral component. These grey level image gives the concentration of light, each at the specific spectral component and at the position of every pixel. Red, Green and Blue are three spectral bands.
Advait Gopal Ranade +2 more
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MMNet: A Model-Based Multimodal Network for Human Action Recognition in RGB-D Videos
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Human action recognition (HAR) in RGB-D videos has been widely investigated since the release of affordable depth sensors. Currently, unimodal approaches (e.g., skeleton-based and RGB video-based) have realized substantial improvements with increasingly ...
Bruce X. B. Yu +4 more
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Computers and Electronics in Agriculture, 2021
Estimation of yield is a major challenge in the production of many agricultural crops, including sugarcane. Mapping the spatial variability of plant height (PH) and the stalk density is important for accurate sugarcane yield estimation, and this ...
KC Sumesh, S. Ninsawat, J. Som-ard
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Estimation of yield is a major challenge in the production of many agricultural crops, including sugarcane. Mapping the spatial variability of plant height (PH) and the stalk density is important for accurate sugarcane yield estimation, and this ...
KC Sumesh, S. Ninsawat, J. Som-ard
semanticscholar +1 more source
Single RGB-D Fitting: Total Human Modeling with an RGB-D Shot
25th ACM Symposium on Virtual Reality Software and Technology, 2019Existing single shot based human modeling methods generally cannot model the complete pose details (e.g., head and hand positions) without non-trivial interactions. We explore the merits of both RGB and depth images and propose a new method called Single RGB-D Fitting (SRDF) to generate a realistic 3D human model with a single RGB-D shot from a ...
Xianyong Fang +4 more
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Going From RGB to RGBD Saliency: A Depth-Guided Transformation Model
IEEE Transactions on Cybernetics, 2020Depth information has been demonstrated to be useful for saliency detection. However, the existing methods for RGBD saliency detection mainly focus on designing straightforward and comprehensive models, while ignoring the transferable ability of the ...
Runmin Cong +5 more
semanticscholar +1 more source
, 2020
Timely and accurate crop monitoring and yield forecasting before harvesting are valuable for precision management, policy and decision making, and marketing.
Liang Wan +13 more
semanticscholar +1 more source
Timely and accurate crop monitoring and yield forecasting before harvesting are valuable for precision management, policy and decision making, and marketing.
Liang Wan +13 more
semanticscholar +1 more source
Modeling hair from an RGB-D camera
ACM Transactions on Graphics, 2018Creating realistic 3D hairs that closely match the real-world inputs remains challenging. With the increasing popularity of lightweight depth cameras featured in devices such as iPhone X, Intel RealSense and DJI drones, depth cues can be very helpful in consumer applications, for example, the Animated Emoji.
Meng Zhang +5 more
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Live Structural Modeling Using RGB-D SLAM
2018 IEEE International Conference on Robotics and Automation (ICRA), 2018This paper presents a method for localizing primitive shapes in a dense point cloud computed by the RGB-D SLAM system. To stably generate a shape map containing only primitive shapes, the primitive shape is incrementally modeled by fusing the shapes estimated at previous frames in the SLAM, so that an accurate shape can be finally generated ...
Nicolas Olivier +7 more
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