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A Novel Approach to Enlighten the Effect of Neighbor Faces during Attending a Face in the Crowd

机译:一种新的方法来启发邻居在人群中脸上的效果

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While attending the crowd, humans do not look all the faces with same gaze. Human beings have naturally, extraordinary capability to focus their gaze towards a face carrying the 'dominating look' in the crowd in terms of beauty or ugliness. This happens due to relative saliency of that face with respect to their surrounding faces. To model the computer's vision based on human psychology and its cognitive science, enormous researches have been carried out. In order to enhance these researches, this paper proposed a novel method to illustrate how the saliency of a face is varying with its neighboring faces in the crowd. This variation affects our perception and attention towards a face in the crowd. In this method, distribution of visual saliency has been calculated based on intensity values and respective spatial distance of the faces. Experiment has been conceded out on various facial images. The results and accuracy are found to be satisfactory. The evaluation made with the proposed approach which exhibits quite boosting results and it can lead to a future model of intelligent visions of computers.
机译:在参加人群的同时,人类并不看起来凝视着所有的脸。人类自然地具有非凡的能力,将目光集中在脸上的脸上,以在美丽或丑陋方面携带人群中的“占主导地位”。这是由于该面对周围的面孔的相对显着性。为了根据人类心理学及其认知科学模拟计算机的愿景,已经进行了巨大的研究。为了提高这些研究,本文提出了一种新颖的方法,说明了脸部的显着性如何随着人群中的相邻面而变化。这种变异影响我们对人群的脸部的看法和关注。在该方法中,已经基于强度值和面部的各个空间距离来计算视觉显着性的分布。在各种面部图像上都承认了实验。发现结果和准确性是令人满意的。评估采用拟议的方法制定,展现出相当升级的结果,它可以导致计算机的未来模型。

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