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In this letter, an attitude estimation method is presented for space targets by using an inverse synthetic aperture radar (ISAR) image sequence. The line structures, like the boundaries of planar payloads, are extracted from the ISAR image sequence and associated from frame to frame. With the accommodation of the radar looking angle information from the trajectory, the threedimensional attitude of...
The common spatial pattern (CSP) is extensively used to extract discriminative feature from raw Electroencephalography (EEG) signals for motor imagery classification. The CSP is a statistical signal processing technique, which relies on sample based covariance matrix estimation to give discriminative information from raw EEG signals. The sample based estimation of covariance matrix becomes a problem...
A 3D motion detection method based on RGB-D data and scene flow clustering is proposed in this paper. The 3D extension of the optical flow called scene flow which describes the 3D motion of every point in a scene between two consecutive frames. Firstly, we estimate the scene flow using color maps and the aligned depth maps in two consecutive frames, then extract the feature vector of each point from...
Real-time, robust and precise estimation of a robot's ego-motion is a crucial requirement for higher level tasks like autonomous navigation. In this paper, a real-time and robust odometry estimation system for indoor micro aerial vehicle (MAV) is developed by only using the point cloud generated from the depth camera. First, local surface normal features are used to select points with most constraints...
This paper proposes a novel azimuth scaling algorithm for estimating the relative rotation angle of two continual say sub-aperture inverse synthetic aperture radar (ISAR) images of a rigid space ISAR target by using a feature registration of coordinate locations of interested points extracted from the images above. Specifically, we firstly extract sufficient interested points and feature descriptor...
Micro-quadrotor usually equips with lightweight sensors due to its limited payload. In this paper, an odometry estimation method based on 2D laser scanner and monocular vision is proposed to solve the pose estimation problem of micro-quadrotor flying robot in indoor environments. This method firstly detects and matches image features of current and previous frames to get all feature correspondences...
Human head pose estimation is a hot topic in computer vision field, which can be used in video surveillance, Human Computer Interaction and so on. Active Shape Model is a template matching method, which is suitable for object localization and point based feature extraction. In this paper, we propose an algorithm based on Active Shape Model for head pose estimation. In the proposed algorithm, we firstly...
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