Despite the educational importance of visual communication skills in spatial design education,the patterns and characteristics of students'image recognition,as well as the underlying mechanisms and influencing fac...Despite the educational importance of visual communication skills in spatial design education,the patterns and characteristics of students'image recognition,as well as the underlying mechanisms and influencing factors,remain unknown.This study employs objective measurement through eye-tracking to investigate students'image recognition patterns in response to a range of spatial problems,including those speciflc to landscape architecture based on designers'plans and perspectives,as well as their overall learning capacity.The research compares eye movements as Landscape Architecture students explore different learning materials,considering spatial scale,dimensions,and degree of detail.Additionally,influential factors such as problem difflculty and students'ability levels are examined.Results reveal that students experience signiflcantly less visual attention pressure in Landscape Architecture-speciflc Spatial Ability tests,suggesting that those at a rudimentary level easily access and accept spatial learning materials in this domain due to visual coherency and real-world spatial familiarity.Furthermore,spatial scale emerges as a signiflcant factor affecting recognition patterns,indicating higher levels of visual attention required for largescale spatial design drawings.The flndings suggest that neurophysiological data,such as eye-tracking,is effective in understanding students'challenges and mental pressures in learning visual communication skills in Landscape Architecture education.This study's insights may assist Landscape Architecture educators in developing design studio projects and assignments that align with students'cognitive characteristics in image recognition.展开更多
In order to monitor dangerous areas in coal mines automatically,we propose to detect helmets from underground coal mine videos for detecting miners.This method can overcome the impact of similarity between the targets...In order to monitor dangerous areas in coal mines automatically,we propose to detect helmets from underground coal mine videos for detecting miners.This method can overcome the impact of similarity between the targets and their background.We constructed standard images of helmets,extracted four directional features,modeled the distribution of these features using a Gaussian function and separated local images of frames into helmet and non-helmet classes.Out experimental results show that this method can detect helmets effectively.The detection rate was 83.7%.展开更多
文摘Despite the educational importance of visual communication skills in spatial design education,the patterns and characteristics of students'image recognition,as well as the underlying mechanisms and influencing factors,remain unknown.This study employs objective measurement through eye-tracking to investigate students'image recognition patterns in response to a range of spatial problems,including those speciflc to landscape architecture based on designers'plans and perspectives,as well as their overall learning capacity.The research compares eye movements as Landscape Architecture students explore different learning materials,considering spatial scale,dimensions,and degree of detail.Additionally,influential factors such as problem difflculty and students'ability levels are examined.Results reveal that students experience signiflcantly less visual attention pressure in Landscape Architecture-speciflc Spatial Ability tests,suggesting that those at a rudimentary level easily access and accept spatial learning materials in this domain due to visual coherency and real-world spatial familiarity.Furthermore,spatial scale emerges as a signiflcant factor affecting recognition patterns,indicating higher levels of visual attention required for largescale spatial design drawings.The flndings suggest that neurophysiological data,such as eye-tracking,is effective in understanding students'challenges and mental pressures in learning visual communication skills in Landscape Architecture education.This study's insights may assist Landscape Architecture educators in developing design studio projects and assignments that align with students'cognitive characteristics in image recognition.
基金provided by the National High Technology Research and Development Program of China (No.2008AA062202)
文摘In order to monitor dangerous areas in coal mines automatically,we propose to detect helmets from underground coal mine videos for detecting miners.This method can overcome the impact of similarity between the targets and their background.We constructed standard images of helmets,extracted four directional features,modeled the distribution of these features using a Gaussian function and separated local images of frames into helmet and non-helmet classes.Out experimental results show that this method can detect helmets effectively.The detection rate was 83.7%.
