Research and implementation of multi-object tracking based on vision DSP

Gong, Xuan; Le, Zichun

doi:10.1007/s11554-020-00958-z

Cited by 8 publications

(1 citation statement)

References 22 publications

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“…Large-scale rendering of complex scenes Under normal circumstances, can choose when rendering large-scale complex scenarios, there are many ways of eliminating algorithm such as sunscreen, and instantiate technology, LOD algorithm, and this paper studies on the basis of this puts forward a new rendering algorithm, which is under the guidance of the Unity engine, terrain and its model in optimization design of complex scenes. Combined with the current technology application and research and development situation, this new algorithm design has a strong efficiency and correctness, even in large and complex scenes can still improve the efficiency and quality of the actual rendering [1][2][3][4]. In simple terms, rendering refers to the process of using software to generate images from a model during computer drawing.…”

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confidence: 99%

Research and Implementation of Real-time Render Optimization Algorithm Based on GPU

Wang

Zhang

2021

J. Phys.: Conf. Ser.

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In the continuous optimization of computer graphics, game engine and virtual reality have become the focus of research and innovation in the current technology field. Rendering is a core technology to show a variety of graphic effects, which has been attached great importance to and applied by the whole society. Nowadays, although the rendering of large-scale and complex scenes has a wide range of applications, the actual optimization requirements are very high. Therefore, in the future technology application and research and development, based on higher and higher technical requirements, it is necessary to improve the efficiency of actual rendering while ensuring or improving the rendering quality. Therefore, this paper studies how to use the algorithm to improve the efficiency of actual rendering, so as to provide a new basis for future computer graphics research.

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confidence: 99%