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检索条件"主题词=3D Temperature Distribution Model"

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Research on 3d temperature distribution model based on Affine Projection and Feature Registration 37

Research on 3D Temperature Distribution Model based on Affin...

引用

37th Chinese Control Conference (CCC)

作者： Wang, HongYu Wu, Chengdong Jia, Tong Lie, dongxue Jiang, Yang Jia, Zixi Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China Northeastern Univ Fac Robot Sci & Engn Shenyang 110819 Liaoning Peoples R China

ISBN: (纸本)9789881563958

This paper aims to study the construction method of a three-dimensional temperature distribution reconstruction system based on depth and thermal infrared information. Initially, the traditional calibration methods were not straightforward because depth and thermal infrared cameras were not sensitive to color calibration plates. Therefore, a depth and thermal infrared camera calibration board is designed to perform depth and thermal infrared camera calibration. Secondly, the three-dimensional temperature distribution is built based on spatial affine transformation matching. The Local feature descriptor is proposed. In addition, the three-dimensional temperature distribution is calculated by local feature matching. Finally, the optimization of 3d temperature distribution reconstruction is completed based on autoregressive (AR) model. Experimental results show that a three-dimensional temperature distribution model can be built accurately based on this method with strong robustness.

关键词： Affine Projection Local Feature Registration AR model 3d temperature distribution model

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Research on 3d temperature distribution model based on Affine Projection and Feature Registration

Research on 3D Temperature Distribution Model based on Affin...

引用

第37届中国控制会议

作者： HongYu Wang Chengdong Wu Tong Jia dongxue Li Yang Jiang Zixi Jia College of Information Science and Engineering Northeastern University Faculty of Robot Science and Engineering Northeastern University

This paper aims to study the construction method of a three-dimensional temperature distribution reconstruction system based on depth and thermal infrared ***,the traditional calibration methods were not straightforward because depth and thermal infrared cameras were not sensitive to color calibration ***,a depth and thermal infrared camera calibration board is designed to perform depth and thermal infrared camera ***,the three-dimensional temperature distribution is built based on spatial affine transformation *** Local feature descriptor is *** addition,the three-dimensional temperature distribution is calculated by local feature ***,the optimization of 3 d temperature distribution reconstruction is completed based on autoregressive（AR） *** results show that a three-dimensional temperature distribution model can be built accurately based on this method with strong robustness.

关键词： Affine Projection Local Feature Registration AR model 3d temperature distribution model

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3d temperature distribution model Based on Vision Method

3D Temperature Distribution Model Based on Vision Method

引用

IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO)

作者： Jia, Tong Tu, Mo Jiang, Yuli Zhang, Shuai Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China

ISBN: (纸本)9781509043644

This paper studies the construction of 3d temperature distribution reconstruction system based on the binocular visual technology. First of all, since the thermal infrared camera is only sensitive to temperature, the traditional calibration method cannot be directly used in it. Therefore, the paper designs a thermal infrared camera calibration board to complete the calibration of the thermal infrared camera. Then, in terms of stereo matching, it further studies the traditional belief propagation algorithm and improves its smooth model, so as to optimize the mismatching rate greatly. Finally, in terms of the 3d model construction, it constructs the corresponding relationship between the points on the 3d model and the pixels on the temperature images based on the known thermal infrared camera and the space position information of the visible light camera and maps the temperature information to the 3d model. Experimental results show that the method can accurately construct the 3d temperature distribution model and the model has strong robustness.

关键词： Thermal Infrared Images Binocular Vision Belief Propagation 3d temperature distribution model

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Thermal-depth Matching in dynamic Scene based on Affine Projection and Feature Registration

Thermal-Depth Matching in Dynamic Scene based on Affine Proj...

引用

Young Scientists Forum

作者： Hongyu Wang Tong Jia Chengdong Wu Yongqiang Li Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China

ISBN: (数字)9781510619784

ISBN: (纸本)9781510619784

This paper aims to study the construction of 3d temperature distribution reconstruction system based on depth and thermal infrared information. Initially, a traditional calibration method cannot be directly used, because the depth and thermal infrared camera is not sensitive to the color calibration board. Therefore, this paper aims to design a depth and thermal infrared camera calibration board to complete the calibration of the depth and thermal infrared camera. Meanwhile a local feature descriptors in thermal and depth images is proposed. The belief propagation matching algorithm is also investigated based on the space affine transformation matching and local feature matching. The 3d temperature distribution model is built based on the matching of 3d point cloud and 2d thermal infrared information. Experimental results show that the method can accurately construct the 3d temperature distribution model, and has strong robustness.

关键词： Affine Projection Feature Registration Belief Propagation 3d temperature distribution model

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