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Chapter and Conference Paper
A New Text Detection Algorithm for Content-Oriented Line Drawing Image Retrieval
Content retrieval of scanned line drawing images is a difficult problem, especially from real-life large scale databases. Existing algorithms don’t work well due to their low efficiency by first recognizing va...
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Chapter and Conference Paper
A New Shape Descriptor for Object Recognition and Retrieval
We present a new shape descriptor for measuring the similarity between shapes and exploit it in graphical object recognition and retrieval. By statistically integrating the local length-ratio and angle constra...
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Chapter and Conference Paper
An Incremental SRC Method for Face Recognition
Face recognition has been studied for decades and been used widely in our daily life. However, when the practical application is concerned, not only the occlusion, pose and expression variations, but also the ...
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Chapter and Conference Paper
One-Shot-Learning Gesture Segmentation and Recognition Using Frame-Based PDV Features
This paper proposes one novel on-line gesture segmentation and recognition method for one-shot-learning on depth video. In each depth image, we take several random points from the motion region and select a g...
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Chapter and Conference Paper
Continuous Motion Recognition in Depth Camera Based on Recurrent Neural Networks and Grid-based Average Depth
Inspired by the success of using RNN in some other fields, we propose to apply the RNN to recognize human motion based on depth data. RNN can directly model the depth sequence on the time axis, and learn the t...