Lumitexel Data Processing And Rendering Algorithms

Along with the maturity of virtual reality and augmented reality,how to re-create the real object in the computer system has become a popular technical topic.3D reconstruction and SVBRDF measurement,as an important part in the inverse rendering technology,have not only excellent research achievements,but also good application prospect,especially when the hardware technologies are rapidly developing now.In the field of computer-aided medical applications and digital entertainment,such as motion pictures,computer animations and video games,the inverse rendering technology can play a great role.The data of this study is obtained from the result of 3d reconstruction measurement and SVBRDF measurement.The measured data includes the calibration images,the structured-light projection images,and the muptiple light projection images.With these image data,we have the geometrical information(positions and normals)and material information(the incident-reflection direction data,pixel values,and BRDF data).These data make up the Lumitexel.The main purpose of this study is to conduct the Lumitexel data from the surface reconstruction and SVBRDF measuring,selecte point cloud simplification and rendering method,and obtain a more optimized rendering model in the 3-d modeling software.If a good result is obtained,it can be applied to the popular technology,such as virtual reality and augmented reality.The experiment process has four steps as follows: First of all,deal with the images,remove the noise points and obtain clean data;then conduct the Lumitexel data,including point-cloud simplification,SVBRDF clustering,and convert the result into the target files;next,the rendering process of Lumitexel is to get the model from the offline rendering,import it into the Unity3 D engine,and get the result of the model under the condition of different illumination;finally compare the result with the prototype of the sample,and get the comparison result.