A Point Cloud Model Based Image Relief Effect Design

This paper mainly studies the relief extraction and data processing in image fusion design. To depend on plane interception and geometric detail extraction in detail shift of point model, intercepting plane is built and the segmentation between relief and base plane of relief product is realized through plane interception. Then, the extracted intermediate relief is performed the isolated sampling point deletion as well as the re-obtained relief boundary optimization of the cut boundary in relief to finally realize relief extraction of relief product. After relief extraction, the extracted relief is performed data processing, which mainly includes smoothness denoising and simplification. Based on second-order Laplace algorithm, smooth denoising inhibits high frequency component and keeps or even enhances low frequency component and overcomes vertex drift and model tearing through avoiding tangential movement of point.