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Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics December 1114, 2012, Guangzhou, China Visual Geometry using RBD Camera on Ceiling Vision Han Wang, Wei You, Kendra
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Visual odometry using RGB-D (Red Green Blue-Depth) refers to the process of estimating the pose and motion of a camera in a given environment using a combination of color and depth information.
There is no specific requirement to file visual odometry using RGB-D as it is a technique used in the field of computer vision and robotics for motion estimation.
The process of filling out visual odometry using RGB-D involves implementing algorithms that use color and depth information from an RGB-D sensor (such as a Kinect camera) to estimate the camera's motion and position in 3D space.
The purpose of visual odometry using RGB-D is to enable accurate and robust localization and mapping of a camera in 3D space, allowing robots or autonomous vehicles to navigate and understand their surroundings.
There is no specific information that needs to be reported for visual odometry using RGB-D as it is a technique used within the field of computer vision and robotics for motion estimation.
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