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In order to overcome """"semantic gap"""" between bottom features and high-level semantic in the image retrieval, this paper introduces the echo state network to strengthen the mapping between the high-level vision content and the bottom visual feature and designs a feedback category screening strategy. We extract the feature of the queried image and get the...
Facial anthropometry plays an important role in ergonomic applications. Most ergonomically designed products depend on stable and accurate human body measurement data. Our research automatically identifies human facial features based on three-dimensional geometric relationships, revealing a total of 67 feature points and 24 feature lines — more than the definitions associated with MPEG-4. In this...
On the basis of model building and extracting of moving vehicles, the paper propose a new method to identify the vehicle color based on color container and BP neural network. The method analyze the contribution of three channel of the HSI color space, extract the vehicle features using container, design a special neural network for the experiment. The experimental results show that the accuracy rate...
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