visual attention造句
例句與造句
- The mechanism of gain in scale of visual attention
視覺(jué)注意范圍的調(diào)控機(jī)制 - Visual attention ; visual model ; face detection ; invariant recognition
視覺(jué)注意視覺(jué)模型人像檢測(cè)不變性識(shí)別 - A study on event - related potential of visual attention under different cue
不同提示條件下視空間注意的事件相關(guān)電位研究 - The early erp effects reflect neural activity in spatial scale of visual attention
效應(yīng)與視覺(jué)注意空間等級(jí)的腦調(diào)節(jié)機(jī)制 - Differential visual attention scales directed by location versus semantic cue
位置提示與漢字提示視覺(jué)注意范圍的腦機(jī)制差異 - It's difficult to find visual attention in a sentence. 用visual attention造句挺難的
- Study of event - related potential on the visual attention of aging under region cues
范圍提示下視空間注意老齡化的事件相關(guān)電位研究 - Researches on consumers ' visual attention to print advertisements using eye - tracking methodology
國(guó)外對(duì)平面廣告受眾注意心理的眼動(dòng)研究 - Look for ways to give the center of interest in your pictures the most visual attention
尋找一些方法,使你的圖片的興趣中心點(diǎn)給人以最大程度的視覺(jué)吸引力。 - Infant research , too , suggests that coordinating visual attention may have provided the foundation for the evolution of human language
針對(duì)嬰兒的研究同樣說(shuō)明,在合作中的關(guān)注視覺(jué)是人類語(yǔ)言進(jìn)化的基礎(chǔ)。 - If better applying the “ wo hsuan ” mark to transmit design such as poster design , display design , photographic design and comic strip design etc . , more powerful visual attention and memory may be generated
3 .漫畫(huà)的視覺(jué)語(yǔ)言中充滿許多的想像空間,而因?yàn)楣适碌匿侁惪墒蛊湎筢缧猿浞职l(fā)揮。 - In this article , several seminal psychophysical , neruoimaging and neurophysiological theories and studies are reviewed to demonstrate the remarkable achievements of visual attention research in the past decades
在本篇文章中,將會(huì)分別介紹在心理物理學(xué)、神經(jīng)生理學(xué)及現(xiàn)代腦照影上經(jīng)典的視覺(jué)注意力理論與研究。 - As the core technique of the method , the attention object extraction is implemented by incorporating a visual attention model with the seeded region growing that is a famous technique in the image segmentation
在這個(gè)算法中,核心技術(shù)? ?感興趣物體的自動(dòng)提取,結(jié)合視覺(jué)感興趣模型和圖象分割中的區(qū)域增長(zhǎng)技術(shù)來(lái)實(shí)現(xiàn)。 - Neuroscientists at new york university have found that a naturally occurring chemical in the brain can enhance visual processing and suggest that this chemical may represent part of the biological basis of visual attention
紐約大學(xué)的神經(jīng)科學(xué)家在腦中本來(lái)就存在的化學(xué)物質(zhì)乙酰膽堿可以增加視力加工的過(guò)程并提出這個(gè)化學(xué)物質(zhì)可能部分反映了視覺(jué)注意力的生物學(xué)基礎(chǔ)。 - This is particularly true in the area of high - level vision , the study of how we interpret and use visual information ( including object recognition , visual attention , perceptual awareness , visually guided action , visual memory , and other topics )
在高階視覺(jué)領(lǐng)域,也就是我們?nèi)绾谓忉?、如何使用視覺(jué)訊息方面(視覺(jué)訊息包含了物體辨識(shí)、視覺(jué)注意力、知覺(jué)覺(jué)察、藉由視覺(jué)導(dǎo)引的動(dòng)作、視覺(jué)記憶力以及其它的主題) ,這項(xiàng)應(yīng)用尤其確切。 - An attention - based image recognition model is proposed . when analyze complex visual field or pattern , visual attention mechanism is used to detect saliency features in the image and drive the fixation point to scan the saliency features sequentially . during each fixation , the local pattern at the fixation point is memorized or matched . there are two parts in the memory of a complex pattern , the memory of local patterns that constitute the complex pattern and the memory of space relations between local patterns . corresponding to memory process , the recognition process also contains two parts , the matching of local patterns and the matching of space relations between local patterns . an object is recognized only when there are enough numbers of local patterns is matched and the space relations between these local patterns are correct
在掃描到每一個(gè)關(guān)鍵特征區(qū)時(shí),將對(duì)該區(qū)域附近的局部模式進(jìn)行記憶或匹配。對(duì)一個(gè)復(fù)雜目標(biāo)的記憶將包括2部分,一部分是對(duì)局部模式的記憶,即組成該目標(biāo)的各“部件”的模式另一部分是對(duì)各局部模式之間的空間關(guān)系的記憶,即組成該目標(biāo)的各“部件”之間的結(jié)構(gòu)關(guān)系。與記憶過(guò)程對(duì)應(yīng),識(shí)別過(guò)程也包括2部分,一部分是對(duì)局部模式的匹配,另一部分是對(duì)各局部模式之間結(jié)構(gòu)關(guān)系的匹配。