visual saliency

基本解釋

First, the focus of attention of saliency object was obtained by using the visual attention mechanism.
首先根據(jù)視覺(jué)注意機(jī)制得到顯著物體的注意焦點(diǎn)；
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Classical saliency-based visual attention models are adapted for embedding real-time systems with less time and space costs based on approximate Gaussian pyramids of the input image.
利用輸入圖像的近似高斯金字塔，將經(jīng)典的基于顯著性的視覺(jué)注意模型改造為時(shí)空開(kāi)銷(xiāo)更小的版本，從而使其更加適合在嵌入式實(shí)時(shí)系統(tǒng)中實(shí)現(xiàn)。
A new visual attention model used for rapid perception of complex targets in natural scene is proposed. In the learning process, the model extracts saliency blobs from a given target's image.
針對(duì)自然場(chǎng)景圖像中復(fù)雜結(jié)構(gòu)目標(biāo)的快速定位問(wèn)題，提出一種新的視覺(jué)注意模型。