Content-Aware Error Concealment in 3D Geometry Compression for Interactive Virtual Reality Applications

Content-conscious mistake concealment is an emerging era that is being used to enhance the compression of 3-D geometry information for interactive digital reality (VR) programs. The purpose of this generation is to provide interactive VR packages with improved visible enjoyment by decreasing the quantity of excessive data being downloaded while simultaneously preserving the fidelity of the geometry. That is completed with the aid of using numerous techniques consisting of temporal prediction, facial animation, intensity-keeping techniques, and partial-fill strategies. The temporal prediction approach estimates future frames primarily based on the corresponding movement of formerly encoded frames with the help of temporal movement vector estimation. This technique can efficiently reduce the compression-triggered artifacts from 3D geometry facts and, hence, improve the performance of the compression set of rules. The facial animation technique, then again, is used to reduce facial animation errors and beautify the realism of the 3-D geometry. This approach employs movement-based total information compression accompanied by facial animation processes for statistics representation and information restoration after compression. This technique may be correctly used to lessen statistics redundancies due to frame synthesis and convey greater correct facial expressions. Depth-keeping techniques can correctly lessen the number of visible artifacts in compression while maintaining the depth of data.