Towards a method to compare and to evaluate fast pixel gathering mechanisms for real time robotic vision systems
Taking into account the constraints of mobile and autonomous robotics, and the tasks devoted to the vision system embedded on different robots for various applications, we propose a research in matter of fast pixel gathering mechanisms for the connected component extraction and the color region segm...
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creator | Bonnin, P. Stasse, O. Hugel, V. Blazevic, P. Dauphin, G. |
description | Taking into account the constraints of mobile and autonomous robotics, and the tasks devoted to the vision system embedded on different robots for various applications, we propose a research in matter of fast pixel gathering mechanisms for the connected component extraction and the color region segmentation. In this work, we studied three different mechanisms, and proposed a new method to compare and to evaluate the algorithms according to two criteria: the speed of processing and the quality of the results for robotic applications. This method allows to choose the most appropriate algorithm for a given robotic application, and to create new algorithms, by hybridizing older ones while keeping interesting properties. |
doi_str_mv | 10.1109/ISSPA.2003.1224839 |
format | Conference Proceeding |
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This method allows to choose the most appropriate algorithm for a given robotic application, and to create new algorithms, by hybridizing older ones while keeping interesting properties.</description><subject>Algorithm design and analysis</subject><subject>Computer Science</subject><subject>Embedded computing</subject><subject>Layout</subject><subject>Legged locomotion</subject><subject>Machine vision</subject><subject>Mobile robots</subject><subject>Real time systems</subject><subject>Robot vision systems</subject><subject>Robotic assembly</subject><subject>Robotics</subject><subject>Service robots</subject><isbn>0780379462</isbn><isbn>9780780379466</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2003</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9kM1OwzAQhC0hJKD0BeDiK4cW_ySxfawqoJUqgdRyjtaO0xglcWSbQt-eQCv2spqZb-ewCN1RMqeUqMf1dvu2mDNC-JwylkmuLtANEZJwobKCXaFpjB9knCznqhDXaNj5LwhVxIA7mxpf4eSx8d0AwWLo_6Q9QPsJyeIaYsKD-7Yt3kNqbHD9fjwzDfQudhHXPuBgocXJdRYHr31yBh9cdL7H8RiT7eItuqyhjXZ63hP0_vy0W65mm9eX9XKxmTWMqDQTROvcmNpIJgF0rWVGFScgBBAwQoPmlOSqoAWIMRWKCVlUsuI5p4Yoxifo4dTbQFsOwXUQjqUHV64Wm_LXIzzPR04e6Mjen1hnrf2Hzw_kPwjxZ-Q</recordid><startdate>2003</startdate><enddate>2003</enddate><creator>Bonnin, P.</creator><creator>Stasse, O.</creator><creator>Hugel, V.</creator><creator>Blazevic, P.</creator><creator>Dauphin, G.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>1XC</scope></search><sort><creationdate>2003</creationdate><title>Towards a method to compare and to evaluate fast pixel gathering mechanisms for real time robotic vision systems</title><author>Bonnin, P. ; Stasse, O. ; Hugel, V. ; Blazevic, P. ; Dauphin, G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-h209t-70bb5ccfc828aabfb841930a77a0ac7bab31059616a7bfb792786d8d3531c0923</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Algorithm design and analysis</topic><topic>Computer Science</topic><topic>Embedded computing</topic><topic>Layout</topic><topic>Legged locomotion</topic><topic>Machine vision</topic><topic>Mobile robots</topic><topic>Real time systems</topic><topic>Robot vision systems</topic><topic>Robotic assembly</topic><topic>Robotics</topic><topic>Service robots</topic><toplevel>online_resources</toplevel><creatorcontrib>Bonnin, P.</creatorcontrib><creatorcontrib>Stasse, O.</creatorcontrib><creatorcontrib>Hugel, V.</creatorcontrib><creatorcontrib>Blazevic, P.</creatorcontrib><creatorcontrib>Dauphin, G.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Hyper Article en Ligne (HAL)</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bonnin, P.</au><au>Stasse, O.</au><au>Hugel, V.</au><au>Blazevic, P.</au><au>Dauphin, G.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Towards a method to compare and to evaluate fast pixel gathering mechanisms for real time robotic vision systems</atitle><btitle>Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings</btitle><stitle>ISSPA</stitle><date>2003</date><risdate>2003</risdate><volume>2</volume><spage>157</spage><epage>160 vol.2</epage><pages>157-160 vol.2</pages><isbn>0780379462</isbn><isbn>9780780379466</isbn><abstract>Taking into account the constraints of mobile and autonomous robotics, and the tasks devoted to the vision system embedded on different robots for various applications, we propose a research in matter of fast pixel gathering mechanisms for the connected component extraction and the color region segmentation. In this work, we studied three different mechanisms, and proposed a new method to compare and to evaluate the algorithms according to two criteria: the speed of processing and the quality of the results for robotic applications. 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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Algorithm design and analysis Computer Science Embedded computing Layout Legged locomotion Machine vision Mobile robots Real time systems Robot vision systems Robotic assembly Robotics Service robots |
title | Towards a method to compare and to evaluate fast pixel gathering mechanisms for real time robotic vision systems |
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