Dynamic Visual Image Modeling Based on Mobile Robot Self-Organizing Network in Internet of Things Perception Layer

作者：Gao Li^*; Ren Xupeng; Li Xiaobo

来源：China Communications, 2011, 8(8): 49-55.

• IoT perception layer
• multigroup binocular visual
• dynamic visual image modeling
• fast three-dimensional modeling rebuild

The dynamic :multichannel binocular visual image modeling is studied based on Internet of Things (IoT) Perception Layer, using mobile robot self-organizing network. By employing multigroup mobile robots with binocular visual system, the real visual images of the object will be obtained. Then through the mobile self-organizing network, a three-dimensional model. is rebuilt by synthesizing the returned images. On this basis, we formalize a novel algorithm for multichannel binocular visual three-dimensional images based on fast three-dimensional modeling. Compared with the method based on single binocular visual system, the new algorithm can improve the Integrity and accuracy of the dynamic three-dimensional object modeling. The simulation results show that the new method can effectively accelerate the modeling speed, improve the similarity and not increase the data size.

• 出版日期2011-12
• 单位北京邮电大学