In recent years, artificial intelligence technology has made breakthrough progress. It is widely used in person re-identification(Re-ID), but its accuracy still needs to be improved. This paper proposes a person re-identification(Re-ID) model based on 3D data augmentation and designs and implements edge computing deployment. The 3D human body model is put into the 3D scene and take automatic virtual photography to obtain the simulation image data. The neural network model is trained through the expanded data set of 3D simulation, and its improvement is significant. Based on this, an onboard scheme of artificial intelligence edge computing based on the Rock chips 3588 was designed to meet the practical needs of person re-identification(Re-ID) applications. This scheme is widely compatible with standard IP cameras based on RTSP/RTMP streams, supports person re-identification of visible and infrared video streams, can control the PTZ through the network interface, and can be updated and iterated remotely through the network. 

3D Data Augmented Person Re-identification and Edge-based Implementation

Real-time rendering, crucial in computer graphics, is essential for interactive applications. Real-time realistic rendering poses a significant challenge, traditionally addressed through rasterization. Despite recent strides in graphics card capabilities, real-time ray tracing struggles due to limited samples per pixel, causing noise and aliasing. This paper introduces a heuristic hybrid real-time rendering method. It comprises five stages: deferred rendering stores data in a G-buffer; a heuristic method selects relevant objects for rendering based on cost and relevance criteria; ray tracing handles secondary effects like shadows and reflections; results are blended with rasterization using the G-buffer, and post-processing enhances the final output. This method optimally balances performance and quality, addressing challenges in achieving ideal real-time rendering results, even with advancements like NVIDIA's RTX series. The proposed approach is implemented in a self-developed engine with a novel architecture, showcasing its effectiveness in real-world scenarios. 

Design and implementation of heuristic hybrid rendering

In the development of space mission simulation system, the fidelity of real-time scene rendering is one of the key indexes of simulation system. This paper presents a new shader technology based on physical rendering. The technique was validated by rendering tests in the engine. The simulation results show that the method can effectively improve the fidelity of scene rendering and provide technical support for the development of high-fidelity space mission simulation system.

https://doi.org/10.1088/1742-6596/2158/1/012004

Shader Technology based on Physical Rendering

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Shader Technology based on Physical Rendering