Into any That is why I think it is important to study the principles of Neural. Recon to further understand the development of the presente direction. Many other examples comparing Neural. Recon with previous approaches can be found in the original article. TSDF To study the work of both this Neural Recon and the following methods. We cannot do without such a thing as TSDF Truncate Signe Distance Function.
First we define the usual signe
Distance function SDF Let Omega be the set of points that make up the object delta. Omega the set of points lying on the surface of the object dxy. Tthe Euclidean UAE Phone Number List metric or more simply the distance from point x to point. Let also dx delta Omegainf in delta Omega dxy Then SDFxbegincasesdx delta. Omega quad textif x in Omega dx delta Omega quad textif x notin Omegaendcases Example of SDF on a plane Example of SDF on a plane It is not difficult to guess that TSDF unlike.
SDF will also cut off all values
That do not fall within the specifie range. For example for the range there will be the following beautiful formula TSDFxbegincasesSDFx quad textif dx delta Omega UAE Whatsapp Number List in sgndx delta Omega quad text if dx delta Omega notin endcases Where sngx is the usual sign function sngxbegincases quad text if x quad text if That is why I think it is important to study the principles of NeuralRecon to further understand the development of the presente direction. Many other examples comparing Neural Recon with previous approaches can be found in the original article.
