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Locally linear embedding (LLE) is a prevalent manifold learning method in pattern recognition and machine learning. It preserves the intrinsic structure information of data set and has been widely applied to feature extraction and dimensionality reduction. This paper introduces LLE to aircraft pose recognition. The representative motion poses of an aircraft in the air are analyzed. Unfolding results...
With increasing popularity of using motion capture hardware for motion synthesis, studies that exploit large motion databases for faster indexing and retrieval become more important. Here, an automated procedure to analyze motion databases and cluster poses according to various feature vectors is presented. We propose the use of limb centroids as an alternative feature vector. Limb centroids have...
In this study, we present an efficient approach to recover 3D human motion from monocular image sequences in generative reconstruction framework. This approach is based on the extracting of motion base space. From the motion capture data with bothersome high dimension characteristic of human activity, we extract the motion base space in which human pose can be described essentially and concisely by...
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