Ms. Hai-He Hu Profile

Hai-He Hu

at Beijing Institute of Technology

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Author

Publications (4)

Proceedings Article | 25 October 2016 Paper

A system of infrared scene simulation

Haihe Hu, Yujian Li, Yi Huo, Wenqing Kuang, Ting Zhang

Proceedings Volume 10157, 101570Q (2016) https://doi.org/10.1117/12.2244768

KEYWORDS: Thermography, Infrared radiation, Scene simulation, Infrared imaging, Optical properties

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Proceedings Article | 25 October 2016 Paper

A model of traffic signs recognition with convolutional neural network

Haihe Hu, Yujian Li, Ting Zhang, Yi Huo, Wenqing Kuang

Proceedings Volume 10157, 101570V (2016) https://doi.org/10.1117/12.2244913

KEYWORDS: Neural networks, Convolution, Feature extraction

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SPIE Journal Paper | 3 April 2015 Open Access

Model of thermal infrared image texture generation based on the scenery space frequency

Hai-He Hu, Ting-Zhu Bai, Xiao-Xia Qu

OE, Vol. 54, Issue 04, 043102, (April 2015) https://doi.org/10.1117/12.10.1117/1.OE.54.4.043102

KEYWORDS: Thermography, Infrared imaging, Infrared radiation, Image filtering, Thermal modeling, Spatial frequencies, Imaging systems, Image processing, Optical filters, Sensors

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Proceedings Article | 11 September 2013 Paper

Research on infrared imaging illumination model based on materials

Hai-he Hu, Chao-yin Feng, Chang-geng Guo, Hai-jing Zheng, Qiang Han, Hai-yan Hu

Proceedings Volume 8907, 89070T (2013) https://doi.org/10.1117/12.2031670

KEYWORDS: Infrared imaging, Infrared radiation, Thermal modeling, Electro optical modeling, Reflection, Visual process modeling, Thermography, Computer simulations, Infrared cameras, 3D modeling

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In order to effectively simulate infrared features of the scene and infrared high light phenomenon, Based on the visual light illumination model, according to the optical property of all material types in the scene, the infrared imaging illumination models are proposed to fulfill different materials: to the smooth material with specular characteristic, adopting the infrared imaging illumination model based on Blinn-Phone reflection model and introducing the self emission; to the ordinary material which is similar to black body without highlight feature, ignoring the computation of its high light reflection feature, calculating simply the material’s self emission and its reflection to the surrounding as its infrared imaging illumination model, the radiation energy under zero range of visibility can be obtained according to the above two models. The OpenGl rendering technology is used to construct infrared scene simulation system which can also simulate infrared electro-optical imaging system, then gets the synthetic infrared images from any angle of view of the 3D scenes. To validate the infrared imaging illumination model, two typical 3D scenes are made, and their infrared images are calculated to compare and contrast with the real collected infrared images obtained by a long wave infrared band imaging camera. There are two major points in the paper according to the experiment results: firstly, the infrared imaging illumination models are capable of producing infrared images which are very similar to those received by thermal infrared camera; secondly, the infrared imaging illumination models can simulate the infrared specular feature of relative materials and common infrared features of general materials, which shows the validation of the infrared imaging illumination models. Quantitative analysis shows that the simulation images are similar to the collected images in the aspects of main features, but their histogram distribution does not match very well, the reasons are analyzed and the further improvement direction is proposed. Theories and experiments show that the validation of the infrared illumination models in the paper.

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