VISION BASED INFORMATION RETRIEVAL

被引：0
|
作者：
Khan, Asif [1 ]
Li, Jian-Ping [1 ]
Khann, Mohd Yusuf [2 ]
机构：
[1] Univ Elect Sci & Technol China, Chengdu, Sichuan, Peoples R China
[2] Indian Inst Technol, Roorkee, Uttar Pradesh, India
来源：
2016 13TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP) | 2016年
基金：
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词：
Machine vision; Objects grasping; Human-robot interaction; Information retrieval;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Vision phenomena with natural strategy are an ideal approach and easy task for human being to see, feel and understand. But that unstructured random scene perception and understanding is a challenging problem in visual image and processing research area. Vision science plays an important role in education, health, military etc. Accordingly here a new model "FL-SHODHANI" has been proposed for the above analysis. This model proceeds with an improvement of pictorial information, storage image data, transmission and representation of images. Then they obtained attributes are considered as sense with the observation, based on task limit. Accordingly this research work also studied various real world application problems related to medical, robotics, agriculture and geo-navigation using the above proposed method. Issues concerning drifts and robustness are analyzed and discussed here with respect to the original framework. Hopefully the contribution made by this research work will make a new vista in the filled of advanced technology for the betterment of our global society.
引用
收藏
页码：265 / 268
页数：4
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