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The information was obtained by a Kohonen neural network that simulates the biological perception mechanisms.
The comparison results show that our maps which are based on the biological perception mechanisms are more consistent with the human fixation density maps.
By following the biological perception mechanisms and exploring the saliency support region, the proposed method can achieve good performance to predict most of the fixations in the images that contain complex scenes and semantic objects.
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There are also concerns regarding how specific any impairments in biological motion perception are, given that individuals with ASC can also perform poorly in other motion perception tasks.
For a biological system, perception often requires information emanating from sensors of multiple modalities [5].
This special visual ability for biological motion perception has been found to involve the posterior superior temporal sulcus (STSp).
Among them, biosensors attracted increasing focus because of their excellent performances in explosive detections, which might come from biological olfactory perception [7, 8, 9].
The present study examines whether brain areas involved in biological motion perception are among these areas particularly with respect to selective attention towards human movement goals.
His research interest covers computational modeling of biological vision perception, and applications in computer vision, image analysis and object recognition based on statistical learning, medical image processing and analysis, interpretation of remote sensing images, and intelligent video surveillance.
In the current study, we tested biological motion perception using PLDs depicting whole body movements.
Researchers have since located several visual cortical regions supporting biological motion perception.
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