scholarly journals Distributed Dendritic Processing Facilitates Object Detection: A Computational Analysis on the Visual System of the Fly

PLoS ONE ◽  
2008 ◽  
Vol 3 (8) ◽  
pp. e3092 ◽  
Author(s):  
Patrick Hennig ◽  
Ralf Möller ◽  
Martin Egelhaaf
2017 ◽  
Vol 13 (10) ◽  
pp. e1005743 ◽  
Author(s):  
Emre Akbas ◽  
Miguel P. Eckstein

2016 ◽  
Vol 26 (6) ◽  
pp. 802-808 ◽  
Author(s):  
Heather M. Whitney ◽  
Alison Reed ◽  
Sean A. Rands ◽  
Lars Chittka ◽  
Beverley J. Glover

Author(s):  
Maheswari M ◽  
Josephine M S ◽  
Jeyabalaraja V

Humans can effortlessly notice and perceive objects found in a photograph and video. Human visual system is speedy, correct and performs complicated tasks like identifying multiple entities and spot obstacles. An Entity is referred as an object. Object detection in videos entails verifying the presence of an item in image sequences. It is related to many real time appliances like car belief, video surveillance and so forth. The aim of this paper is to investigate and assess the distinctive strategies that are used in item tracking and detection through the usage of video sequences.


2020 ◽  
Author(s):  
Samson Chengetanai ◽  
Adhil Bhagwandin ◽  
Mads F. Bertelsen ◽  
Therese Hård ◽  
Patrick R. Hof ◽  
...  

Author(s):  
Klaus-Ruediger Peters

Differential hysteresis processing is a new image processing technology that provides a tool for the display of image data information at any level of differential contrast resolution. This includes the maximum contrast resolution of the acquisition system which may be 1,000-times higher than that of the visual system (16 bit versus 6 bit). All microscopes acquire high precision contrasts at a level of <0.01-25% of the acquisition range in 16-bit - 8-bit data, but these contrasts are mostly invisible or only partially visible even in conventionally enhanced images. The processing principle of the differential hysteresis tool is based on hysteresis properties of intensity variations within an image.Differential hysteresis image processing moves a cursor of selected intensity range (hysteresis range) along lines through the image data reading each successive pixel intensity. The midpoint of the cursor provides the output data. If the intensity value of the following pixel falls outside of the actual cursor endpoint values, then the cursor follows the data either with its top or with its bottom, but if the pixels' intensity value falls within the cursor range, then the cursor maintains its intensity value.


1996 ◽  
Vol 1 (3) ◽  
pp. 200-205 ◽  
Author(s):  
Carlo Umiltà ◽  
Francesca Simion ◽  
Eloisa Valenza

Four experiments were aimed at elucidating some aspects of the preference for facelike patterns in newborns. Experiment 1 showed a preference for a stimulus whose components were located in the correct arrangement for a human face. Experiment 2 showed a preference for stimuli that had optimal sensory properties for the newborn visual system. Experiment 3 showed that babies directed their attention to a facelike pattern even when it was presented simultaneously with a non-facelike stimulus with optimal sensory properties. Experiment 4 showed the preference for facelike patterns in the temporal hemifield but not in the nasal hemifield. It was concluded that newborns' preference for facelike patterns reflects the activity of a subcortical system which is sensitive to the structural properties of the stimulus.


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